Ali Zamani - Profile on Academia.edu (original) (raw)
Papers by Ali Zamani
Soft Computing Applications
This study aimed at developing simple methods for quantification of the data in studies on the he... more This study aimed at developing simple methods for quantification of the data in studies on the health effects of exposure to electromagnetic fields of mobile base stations to prevent different interpretations of the findings. We have previously conducted a cross-sectional study on people living in 10 different districts of Shiraz city. Based on how frequent the symptoms were (always/ usually/occasionally/never), a score was determined for each self-reported symptom and the total score for each individual was calculated. In the next stage, instead of reporting the effect of RF-EMF exposure on the occurrence of each symptom, the impact of exposures on the human health were assessed by evaluation of the total scores. Moreover, principal component analysis (PCA) was used for assessing the factors with greatest correlation. We found that exposure to RF-EMF emitted by mobile base stations significantly affected the residents' health. Furthermore, the distance between the mobile phone base stations and the homes had a significant effect on the residents' health. The frequency of selfreported symptoms of myalgia, palpitation, early fatigue, nervousness and low back pain decreased with increasing the distance from mobile phone base stations.
Middle East Journal of Cancer, 2019
Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering ... more Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering its high incidence, effective detection and prognosis of this type of cancer may have a significant effect on reducing expenditures. In this study, we propose a model to predict the 60-month survivability in patients with breast cancer and investigate the effects of each feature on the obtained model. Methods: We base this model on the information gathered by the Breast Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran from 5673 patients with breast cancer. The goal of this study was to predict breast cancer survivability at early diagnosis, so the features used in the research are among those considered affordable, specifically at the initial steps of diagnosis. After preprocessing all of the cases and features, we constructed this model based on 1930 cases and 16 of their associated features using logistic regression method. The model then was evaluated with ...
Eurasian Journal of Analytical Chemistry
Mercury is a well-known toxic element that is found in various forms in nature. Recently, dental ... more Mercury is a well-known toxic element that is found in various forms in nature. Recently, dental amalgams have been recognized as a new source of mercury. This study was carried out under in vitro condition; the amount of mercury released from teeth restored with amalgams in the presence of Wi-Fi router radiation (non-ionizing radiation) and X-ray (ionizing radiation) using a protocol similar to Computed Tomography of Para-nasal Sinuses (CT) were analyzed separately, and in combination on the samples. For this reason, 50 human premolars were restored with a certain type of commercial amalgams. The samples were divided into five groups; control, only-CT, CT+Wi-Fi, Wi-Fi+CT and only-Wi-Fi groups, and mercury measurement were investigated at 24 and 48 hours after exposure to radiation by cold-vapor atomic absorption system. The results showed a significant difference between subgroups 24 and 48 h (p-values = 0.001 and 0.008). However, over time a significant difference was only found in CT+Wi-Fi group (p-value = 0.043). In addition, in comparison with the control group, only the subgroup that was exposed to Wi-Fi waves showed a significant difference after 24 hours (p = 0.033). In line with some of the previous studies, our findings showed that electromagnetic waves are involved in mercury release process, and warnings about the consequences of electromagnetic waves on mercury release and subtitling it with a new compound in restorative dentistry should be taken into consideration.
A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network
Transactions on Emerging Telecommunications Technologies
In computer networks, transmitted traffic between origin-destination nodes has been considered a ... more In computer networks, transmitted traffic between origin-destination nodes has been considered a crucial factor in traffic engineering applications. To date, measuring the traffic directly in high load networks is difficult due to high computational costs. On the other hand, accurate estimation of network traffic by means of link load measurements and routing information is currently a challenging problem. In this paper, we propose a new approach to estimate end-to-end traffic, inspired by graph embedding. In the proposed approach, we consider a computer network as a time-varying graph. Our model provides explicit routing information to a convolutional neural network (ConvNet) estimator via link load measurements and network topological structure. When explicit routing information is provided, the learning model is only expected to embed the relations between link loads into a traffic estimation vector, instead of figuring out the routing paths. The experimental results showed that the proposed approach outperforms similar estimators in terms of lower estimation error and better tracking the fluctuations.
Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images
Dentomaxillofacial Radiology, 2015
The aim of this study was to design and evaluate a new method for automated localization of the i... more The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images. The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded. The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of <1 mm compared with those determined by the manual gold standard method. The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.
A new optical photon transport Monte Carlo code for modelling parallel- and focused-element scintillation detector arrays and its use for examination of the full MTF responses of thick segmented CsI(Tl) scintillators
Physica Medica, 2014
BMC Medical Imaging, 2014
Background: Two-dimensional projection radiographs have been traditionally considered the modalit... more Background: Two-dimensional projection radiographs have been traditionally considered the modality of choice for cephalometric analysis. To overcome the shortcomings of two-dimensional images, three-dimensional computed tomography (CT) has been used to evaluate craniofacial structures. However, manual landmark detection depends on medical expertise, and the process is time-consuming. The present study was designed to produce software capable of automated localization of craniofacial landmarks on cone beam (CB) CT images based on image registration and to evaluate its accuracy. Methods: The software was designed using MATLAB programming language. The technique was a combination of feature-based (principal axes registration) and voxel similarity-based methods for image registration. A total of 8 CBCT images were selected as our reference images for creating a head atlas. Then, 20 CBCT images were randomly selected as the test images for evaluating the method. Three experts twice located 14 landmarks in all 28 CBCT images during two examinations set 6 weeks apart. The differences in the distances of coordinates of each landmark on each image between manual and automated detection methods were calculated and reported as mean errors. Results: The combined intraclass correlation coefficient for intraobserver reliability was 0.89 and for interobserver reliability 0.87 (95% confidence interval, 0.82 to 0.93). The mean errors of all 14 landmarks were <4 mm. Additionally, 63.57% of landmarks had a mean error of <3 mm compared with manual detection (gold standard method). Conclusion: The accuracy of our approach for automated localization of craniofacial landmarks, which was based on combining feature-based and voxel similarity-based methods for image registration, was acceptable. Nevertheless we recommend repetition of this study using other techniques, such as intensity-based methods.
Model-based Adaptive Target Detection in Clutter Using MIMO Radar
2006 CIE International Conference on Radar, 2006
... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...
GLRT based adaptive detection for MIMO RADARS
IET International Conference on Radar Systems 2007, 2007
In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)
Asymptotically Optimal Rank Test Detection in Long Tailed Clutter
2006 CIE International Conference on Radar, 2006
ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector
Journal of Medical Physics, 2014
Two-dimensional (2D) arrays of thick segmented scintillators are of interest as X-ray detectors f... more Two-dimensional (2D) arrays of thick segmented scintillators are of interest as X-ray detectors for both 2D and 3D image-guided radiotherapy (IGRT). Their detection process involves ionizing radiation energy deposition followed by production and transport of optical photons. Only a very limited number of optical Monte Carlo simulation models exist, which has limited the number of modeling studies that have considered both stages of the detection process. We present ScintSim1, an in-house optical Monte Carlo simulation code for 2D arrays of scintillation crystals, developed in the MATLAB programming environment. The code was rewritten and revised based on an existing program for single-element detectors, with the additional capability to model 2D arrays of elements with configurable dimensions, material, etc., The code generates and follows each optical photon history through the detector element (and, in case of cross-talk, the surrounding ones) until it reaches a configurable receptor, or is attenuated. The new model was verified by testing against relevant theoretically known behaviors or quantities and the results of a validated single-element model. For both sets of comparisons, the discrepancies in the calculated quantities were all <1%. The results validate the accuracy of the new code, which is a useful tool in scintillation detector optimization.
GLRT based adaptive detection for MIMO radars
In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)
The superiority of multiple-input multiple-output (MIMO) radars over conventional phased-array ra... more The superiority of multiple-input multiple-output (MIMO) radars over conventional phased-array radars has been recently shown in many aspects. The MIMO radars have better detection performance and can extract target information more precisely than phased-array radars. The problem of adaptive target detection using temporal coherent pulse train in the presence of nonhomogeneous clutter (different clutter statistics in receivers) is considered for MIMO radars. This problem has been formulated as a hypothesis test. For clutter with unknown statistics three adaptive decision rules have been developed using the generalised likelihood ratio test. The results show the superiority of the MIMO radars with temporal coherent processing over conventional phased arrays in the presence of clutter.
Asymptotically Optimal Rank Test Detection in Long Tailed Clutter
ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector
Model-Based Adaptive Target Detection In Clutter Using MIMO Radar
International Conference on …, 2006
... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...
Adaptive Target Detection In Clutter Using MIMO Radar
Radar Symposium, 2006. IRS 2006. …, 2006
Early radar systems are designed based on a single antenna. Radar designers are currently inter-e... more Early radar systems are designed based on a single antenna. Radar designers are currently inter-ested to develop multi-antenna radar systems. MIMO radars utilize a multi-static architecture in which spatial coherency assumption for both transmitter antenna elements and ...
Soft Computing Applications
This study aimed at developing simple methods for quantification of the data in studies on the he... more This study aimed at developing simple methods for quantification of the data in studies on the health effects of exposure to electromagnetic fields of mobile base stations to prevent different interpretations of the findings. We have previously conducted a cross-sectional study on people living in 10 different districts of Shiraz city. Based on how frequent the symptoms were (always/ usually/occasionally/never), a score was determined for each self-reported symptom and the total score for each individual was calculated. In the next stage, instead of reporting the effect of RF-EMF exposure on the occurrence of each symptom, the impact of exposures on the human health were assessed by evaluation of the total scores. Moreover, principal component analysis (PCA) was used for assessing the factors with greatest correlation. We found that exposure to RF-EMF emitted by mobile base stations significantly affected the residents' health. Furthermore, the distance between the mobile phone base stations and the homes had a significant effect on the residents' health. The frequency of selfreported symptoms of myalgia, palpitation, early fatigue, nervousness and low back pain decreased with increasing the distance from mobile phone base stations.
Middle East Journal of Cancer, 2019
Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering ... more Background: Breast cancer is the most common type of cancer amongst women worldwide. Considering its high incidence, effective detection and prognosis of this type of cancer may have a significant effect on reducing expenditures. In this study, we propose a model to predict the 60-month survivability in patients with breast cancer and investigate the effects of each feature on the obtained model. Methods: We base this model on the information gathered by the Breast Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran from 5673 patients with breast cancer. The goal of this study was to predict breast cancer survivability at early diagnosis, so the features used in the research are among those considered affordable, specifically at the initial steps of diagnosis. After preprocessing all of the cases and features, we constructed this model based on 1930 cases and 16 of their associated features using logistic regression method. The model then was evaluated with ...
Eurasian Journal of Analytical Chemistry
Mercury is a well-known toxic element that is found in various forms in nature. Recently, dental ... more Mercury is a well-known toxic element that is found in various forms in nature. Recently, dental amalgams have been recognized as a new source of mercury. This study was carried out under in vitro condition; the amount of mercury released from teeth restored with amalgams in the presence of Wi-Fi router radiation (non-ionizing radiation) and X-ray (ionizing radiation) using a protocol similar to Computed Tomography of Para-nasal Sinuses (CT) were analyzed separately, and in combination on the samples. For this reason, 50 human premolars were restored with a certain type of commercial amalgams. The samples were divided into five groups; control, only-CT, CT+Wi-Fi, Wi-Fi+CT and only-Wi-Fi groups, and mercury measurement were investigated at 24 and 48 hours after exposure to radiation by cold-vapor atomic absorption system. The results showed a significant difference between subgroups 24 and 48 h (p-values = 0.001 and 0.008). However, over time a significant difference was only found in CT+Wi-Fi group (p-value = 0.043). In addition, in comparison with the control group, only the subgroup that was exposed to Wi-Fi waves showed a significant difference after 24 hours (p = 0.033). In line with some of the previous studies, our findings showed that electromagnetic waves are involved in mercury release process, and warnings about the consequences of electromagnetic waves on mercury release and subtitling it with a new compound in restorative dentistry should be taken into consideration.
A new approach for traffic matrix estimation in high load computer networks based on graph embedding and convolutional neural network
Transactions on Emerging Telecommunications Technologies
In computer networks, transmitted traffic between origin-destination nodes has been considered a ... more In computer networks, transmitted traffic between origin-destination nodes has been considered a crucial factor in traffic engineering applications. To date, measuring the traffic directly in high load networks is difficult due to high computational costs. On the other hand, accurate estimation of network traffic by means of link load measurements and routing information is currently a challenging problem. In this paper, we propose a new approach to estimate end-to-end traffic, inspired by graph embedding. In the proposed approach, we consider a computer network as a time-varying graph. Our model provides explicit routing information to a convolutional neural network (ConvNet) estimator via link load measurements and network topological structure. When explicit routing information is provided, the learning model is only expected to embed the relations between link loads into a traffic estimation vector, instead of figuring out the routing paths. The experimental results showed that the proposed approach outperforms similar estimators in terms of lower estimation error and better tracking the fluctuations.
Accuracy of software designed for automated localization of the inferior alveolar nerve canal on cone beam CT images
Dentomaxillofacial Radiology, 2015
The aim of this study was to design and evaluate a new method for automated localization of the i... more The aim of this study was to design and evaluate a new method for automated localization of the inferior alveolar nerve canal on CBCT images. The proposed method is based on traversing both panoramic and cross-sectional slices. For the panoramic slices, morphological skeletonization is imposed, and a modified Hough transform is used while traversing the cross-sectional slices. A total of 40 CBCT images were randomly selected. Two experts twice located the inferior alveolar nerve canal during two examinations set 6 weeks apart. Agreement between experts was achieved, and the result of this manual technique was considered the gold standard for our study. The distances for the automated method and those determined using the gold standard method were calculated and recorded. The mean time required for the automated detection was also recorded. The average mean distance error from the baseline was 0.75 ± 0.34 mm. In all, 86% of the detected points had a mean error of &amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;lt;1 mm compared with those determined by the manual gold standard method. The proposed method is far more accurate and faster than previous methods. It also provides more accuracy than human annotation within a shorter time.
A new optical photon transport Monte Carlo code for modelling parallel- and focused-element scintillation detector arrays and its use for examination of the full MTF responses of thick segmented CsI(Tl) scintillators
Physica Medica, 2014
BMC Medical Imaging, 2014
Background: Two-dimensional projection radiographs have been traditionally considered the modalit... more Background: Two-dimensional projection radiographs have been traditionally considered the modality of choice for cephalometric analysis. To overcome the shortcomings of two-dimensional images, three-dimensional computed tomography (CT) has been used to evaluate craniofacial structures. However, manual landmark detection depends on medical expertise, and the process is time-consuming. The present study was designed to produce software capable of automated localization of craniofacial landmarks on cone beam (CB) CT images based on image registration and to evaluate its accuracy. Methods: The software was designed using MATLAB programming language. The technique was a combination of feature-based (principal axes registration) and voxel similarity-based methods for image registration. A total of 8 CBCT images were selected as our reference images for creating a head atlas. Then, 20 CBCT images were randomly selected as the test images for evaluating the method. Three experts twice located 14 landmarks in all 28 CBCT images during two examinations set 6 weeks apart. The differences in the distances of coordinates of each landmark on each image between manual and automated detection methods were calculated and reported as mean errors. Results: The combined intraclass correlation coefficient for intraobserver reliability was 0.89 and for interobserver reliability 0.87 (95% confidence interval, 0.82 to 0.93). The mean errors of all 14 landmarks were <4 mm. Additionally, 63.57% of landmarks had a mean error of <3 mm compared with manual detection (gold standard method). Conclusion: The accuracy of our approach for automated localization of craniofacial landmarks, which was based on combining feature-based and voxel similarity-based methods for image registration, was acceptable. Nevertheless we recommend repetition of this study using other techniques, such as intensity-based methods.
Model-based Adaptive Target Detection in Clutter Using MIMO Radar
2006 CIE International Conference on Radar, 2006
... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...
GLRT based adaptive detection for MIMO RADARS
IET International Conference on Radar Systems 2007, 2007
In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)
Asymptotically Optimal Rank Test Detection in Long Tailed Clutter
2006 CIE International Conference on Radar, 2006
ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector
Journal of Medical Physics, 2014
Two-dimensional (2D) arrays of thick segmented scintillators are of interest as X-ray detectors f... more Two-dimensional (2D) arrays of thick segmented scintillators are of interest as X-ray detectors for both 2D and 3D image-guided radiotherapy (IGRT). Their detection process involves ionizing radiation energy deposition followed by production and transport of optical photons. Only a very limited number of optical Monte Carlo simulation models exist, which has limited the number of modeling studies that have considered both stages of the detection process. We present ScintSim1, an in-house optical Monte Carlo simulation code for 2D arrays of scintillation crystals, developed in the MATLAB programming environment. The code was rewritten and revised based on an existing program for single-element detectors, with the additional capability to model 2D arrays of elements with configurable dimensions, material, etc., The code generates and follows each optical photon history through the detector element (and, in case of cross-talk, the surrounding ones) until it reaches a configurable receptor, or is attenuated. The new model was verified by testing against relevant theoretically known behaviors or quantities and the results of a validated single-element model. For both sets of comparisons, the discrepancies in the calculated quantities were all <1%. The results validate the accuracy of the new code, which is a useful tool in scintillation detector optimization.
GLRT based adaptive detection for MIMO radars
In this paper, the problem of adaptive target detection using temporal coherent pulse train in pr... more In this paper, the problem of adaptive target detection using temporal coherent pulse train in presence of clutter is considered for MIMO radars. We have formulated this problem as a hypothesis test. For clutter with unknown statistics two adaptive decision rules have been developed using two-steps generalized likelihood ratio test (GLRT). The performances of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper. (4 pages)
The superiority of multiple-input multiple-output (MIMO) radars over conventional phased-array ra... more The superiority of multiple-input multiple-output (MIMO) radars over conventional phased-array radars has been recently shown in many aspects. The MIMO radars have better detection performance and can extract target information more precisely than phased-array radars. The problem of adaptive target detection using temporal coherent pulse train in the presence of nonhomogeneous clutter (different clutter statistics in receivers) is considered for MIMO radars. This problem has been formulated as a hypothesis test. For clutter with unknown statistics three adaptive decision rules have been developed using the generalised likelihood ratio test. The results show the superiority of the MIMO radars with temporal coherent processing over conventional phased arrays in the presence of clutter.
Asymptotically Optimal Rank Test Detection in Long Tailed Clutter
ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed ... more ABSTRACT In this paper, the problem of finding optimum rank test signal detection in long tailed clutter is considered. For deriving the detector two assumptions are accepted. First a large number of reference samples are assumed, this assumption is realistic in a two dimensional radar detector. Besides, it is assumed that the signal to noise power ratio (SNR) is enough to achieve a considerable detection probability. As a result of these assumptions, the detector is optimum only asymptotically. The performance of this detector is compared with other commonly used rank test detectors. The results show that between these rank detectors, the performance of the rank sum test detector is very close to that of optimum detector
Model-Based Adaptive Target Detection In Clutter Using MIMO Radar
International Conference on …, 2006
... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +9... more ... Abbas Sheikhi Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: sheikhi@shirazu.ac.ir Ali Zamani Dept. of Electrical Engineering, Shiraz University, Shiraz, IRAN. Phone/Fax: +98 711 2303081 Email: azamani@shirazu.ac.ir ...
Adaptive Target Detection In Clutter Using MIMO Radar
Radar Symposium, 2006. IRS 2006. …, 2006
Early radar systems are designed based on a single antenna. Radar designers are currently inter-e... more Early radar systems are designed based on a single antenna. Radar designers are currently inter-ested to develop multi-antenna radar systems. MIMO radars utilize a multi-static architecture in which spatial coherency assumption for both transmitter antenna elements and ...