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Papers by Jeyali Laseetha

Research paper thumbnail of Certain investigations on adaptive beamforming techniques in smart antennae

Research paper thumbnail of Synthesis of Linear Antenna Array Using Genetic Algorithm with Cost Based Roulette Wheel Selection to Maximize Sidelobe Level Reduction

Wireless Communication, 2011

This paper discusses the deployment of Genetic algorithm optimization method for synthesis of ant... more This paper discusses the deployment of Genetic algorithm optimization method for synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level A continuous GA with a population size 10 and a mutation rate of 0.35 with Roulette selection is run for a total of 500 generations using MATLAB and the best result was found for each iteration. This technique proved its effectiveness in improving the performance of the antenna array

Research paper thumbnail of Smart antenna -AOA estimation employing music algorithm and digital beamforming by variable step-size LMS algorithm with novel MAC protocol for IEEE 802.11

International Conference on Networking, Feb 20, 2010

Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless com... more Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless communication systems which provides higher spectrum efficiency, improved link quality and throughput through frequency reuse, reduction of intersymbol interference (ISI) and co-channel interference rejection (CCI)[1]. Space Division Multiple Access, where multiple user signals are simultaneously transmitted and received over same conventional time and frequency channels by using multiple antennas, dramatically increases spectral efficiency. SDMA is realized with beam forming and null forming techniques which accounts for co-channel interference rejection. Channel equalization is done using adaptive equalizer to mitigate the effects of ISI. This paper discusses SDMA technology with digital beam forming with the novel idea of including the Variable step-size LMS algorithm along with MUSIC algorithm employed in MAC protocol for IEEE 802.11 and the results of simulation are analyzed for their performance.

Research paper thumbnail of Glaucoma disease detection using stacked attention U-Net and deep convolutional neural network

Journal of Intelligent & Fuzzy Systems

Glaucoma is a condition of the eye that is caused by an increase in the eye’s intraocular pressur... more Glaucoma is a condition of the eye that is caused by an increase in the eye’s intraocular pressure that, when it reaches its advanced stage, causes the patient to lose all of their vision. Thus, glaucoma screening-based treatment administered in a timely manner has the potential to prevent the patient from losing all of their vision. However, because glaucoma screening is a complicated process and there is a shortage of human resources, we frequently experience delays, which can lead to an increase in the proportion of people who have lost their eyesight worldwide. In order to overcome the limitations of current manual approaches, there is a critical need to create a reliable automated framework for early detection of Optic Disc (OD) and Optic Cup (OC) lesions. In addition, the classification process is made more difficult by the high degree of overlap between the lesion and eye colour. In this paper, we proposed an automatic detection of Glaucoma disease. In this proposed model is ...

Research paper thumbnail of Professors

Abstract—Diagonal loading imparts Robustness to the adaptive beamformer against signal mismatch d... more Abstract—Diagonal loading imparts Robustness to the adaptive beamformer against signal mismatch due to low sample support. It helps to achieve desired sidelobe level and to improve Signal to Interference plus Noise Ratio (SINR). In this paper, variants of Minimum Variance Distortionless Response-Sample Matrix Inversion (MVDR-SMI) beamformer with diagonal loading are analyzed. A novel hybrid algorithm, MVDR-SMI beamformer with Colored Adaptive Diagonal Loading is also proposed in this paper. The simulation experiments show improvement in directivity and SINR compared to other existing MVDR-SMI beamformers with diagonal loading.

Research paper thumbnail of Synthesis of linear antenna array using genetic algorithm with cost based roulette to maximize side lobe level reduction

WSEAS TRANSACTIONS on COMMUNICATIONS archive, 2011

This paper discusses the deployment of Genetic algorithm optimization method for synthesis of ant... more This paper discusses the deployment of Genetic algorithm optimization method for synthesis of antenna array radiation pattern in adaptive beam forming. The synthesis problem discussed is to find the weights of the antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the side lobe level. This technique proved its effectiveness in improving the performance of the antenna array.

Research paper thumbnail of Investigation on the Performance of Linear Antenna Array synthesis using Genetic Algorithm

Research paper thumbnail of Beamforming using Particle Swarm Optimization

International journal of engineering research and technology, 2020

Beamforming is a signal processing technique by which an array of receivers sensitive to signals ... more Beamforming is a signal processing technique by which an array of receivers sensitive to signals from all directions can be processed to form one larger signal. Beamforming technique is a key factor to high throughput objective achieved by reduction in errors occurring in data transmission and reception. In this paper digital beamforming is to be designed with a specified response like a sidelobe level reduction, forming a null response points in interference direction or jamming frequency improving the gain of the antenna towards intended user. So we use optimal beamforming using optimization technique, to achieve a desired response. For that Particle Swarm Optimization (PSO) is a desired candidate. PSO is known as a heuristic robust stochastic optimization technique based on swarm intelligence that is inspired by the behaviour of bird flocking, which applies the concept of social interaction to problem solving in various fields such as physics, chemistry, economics and engineering...

Research paper thumbnail of Reducing Intersymbol Interference using Adaline Network with LMS Learning Rule For Improving the Performance of Wireless Communications

In numerous applications in communications and signal processing, it is necessary to remove noise... more In numerous applications in communications and signal processing, it is necessary to remove noise and distortion from the signal received. These are mainly due to time- varying physical processes which are sometime unknown. The use of adaptive filtering that diminishes and eliminates the signal distortion completely. For adaptive filtering FIR filters are preferred because they are stable and no special adjustments are needed for implementation. The adaptation is done using the Adaline network which uses the LMS learning rule. This paper presents the LMS algorithm using Adaline network. Keywords - LMS algorithm, Adaptive filter, Adaline Network, Intersymbol Interference

Research paper thumbnail of Certain investigations on the reduction of side lobe level of an uniform linear antenna array using biogeography based optimization technique with sinusoidal migration model and simplified-BBO

Sadhana, 2014

In this paper, we propose biogeography based optimization technique, with linear and sinusoidal m... more In this paper, we propose biogeography based optimization technique, with linear and sinusoidal migration models and simplified biogeography based optimization (S-BBO), for uniformly spaced linear antenna array synthesis to maximize the reduction of side lobe level (SLL). This paper explores biogeography theory. It generalizes two migration models in BBO namely, linear migration model and sinusoidal migration model. The performance of SLL reduction in ULA is investigated. Our performance study shows that among the two, sinusoidal migration model is a promising candidate for optimization. In our work, simplified-BBO algorithm is also deployed. This determines an optimum set value for amplitude excitations of antenna array elements that generate a radiation pattern with maximum side lobe level reduction. Our detailed investigation also shows that sinusoidal migration model of BBO performs better compared to the other evolutionary algorithms discussed in this paper.

Research paper thumbnail of Synthesis of Uniform Linear Antenna Array Using Genetic Algorithm with Cost Based Roulette to Maximize Sidelobe Level Reduction

International Journal of Information Acquisition, 2011

This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of... more This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the Uniform Linear Antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level. This technique proved its effectiveness in improving the performance of the antenna array.

Research paper thumbnail of Investigations on the synthesis of uniform linear antenna array using biogeography-based optimisation techniques

International Journal of Bio-Inspired Computation, 2012

This paper presents the use of biogeography-based optimisation (BBO) algorithm for uniform linear... more This paper presents the use of biogeography-based optimisation (BBO) algorithm for uniform linear antenna array (ULA) synthesis using amplitude only control method. BBO is a new evolutionary algorithm (EA) proposed by Dan Simon in the year 2008. The first objective of this paper is to optimise the excitation magnitude of array elements to minimise the maximum side lobe levels. Second objective is to place nulls at specific directions for the optimised pattern by optimising a weight parameter. We review classic BBO and modified biogeography-based optimisation (M-BBO) with two migration models namely linear and sinusoidal. Several simulation experiments are conducted on ULA using BBO techniques to minimise the maximum side lobe level (SLL) imposed with broad nulls. We compare the results of simulation case studies of classic BBO and M-BBO with other EAs such as ACO, GA and StudGA. Best performance is achieved using BBO techniques compared to other EAs for our design problem. The major aim of our investigation is to expose BBO to the EM community and demonstrate its great potential in antenna array design optimisation problem.

Research paper thumbnail of Reducing Intersymbol Interference using Adaline Network with LMS Learning Rule For Improving the Performance of Wireless Communications

In numerous applications in communications and signal processing, it is necessary to remove nois... more In numerous applications in communications and signal processing, it is necessary to remove noise and distortion from the signal received. These are mainly due to time-varying physical processes which are sometime unknown. The use of adaptive filtering that diminishes and eliminates the signal distortion completely. For adaptive filtering FIR filters are preferred because they are stable and no special adjustments are needed for implementation. The adaptation is done using the Adaline network which uses the LMS learning rule. This paper presents the LMS algorithm using Adaline network.

Research paper thumbnail of Smart antennaaoa estimation employing MUSIC algorithm and digital beamforming by Variable step-size LMS algorithm with novel MAC protocol For IEEE 802. …

… and Computers in …, Jan 1, 2010

Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless com... more Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless communication systems which provides higher spectrum efficiency, improved link quality and throughput through frequency reuse, reduction of intersymbol interference (ISI) and co-channel interference rejection (CCI) . Space Division Multiple Access, where multiple user signals are simultaneously transmitted and received over same conventional time and frequency channels by using multiple antennas, dramatically increases spectral efficiency. SDMA is realized with beam forming and null forming techniques which accounts for co-channel interference rejection. Channel equalization is done using adaptive equalizer to mitigate the effects of ISI. This paper discusses SDMA technology with digital beam forming with the novel idea of including the Variable step-size LMS algorithm along with MUSIC algorithm employed in MAC protocol for IEEE 802.11 and the results of simulation are analyzed for their performance.

Research paper thumbnail of Certain investigations on adaptive beamforming techniques in smart antennae

Research paper thumbnail of Synthesis of Linear Antenna Array Using Genetic Algorithm with Cost Based Roulette Wheel Selection to Maximize Sidelobe Level Reduction

Wireless Communication, 2011

This paper discusses the deployment of Genetic algorithm optimization method for synthesis of ant... more This paper discusses the deployment of Genetic algorithm optimization method for synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level A continuous GA with a population size 10 and a mutation rate of 0.35 with Roulette selection is run for a total of 500 generations using MATLAB and the best result was found for each iteration. This technique proved its effectiveness in improving the performance of the antenna array

Research paper thumbnail of Smart antenna -AOA estimation employing music algorithm and digital beamforming by variable step-size LMS algorithm with novel MAC protocol for IEEE 802.11

International Conference on Networking, Feb 20, 2010

Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless com... more Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless communication systems which provides higher spectrum efficiency, improved link quality and throughput through frequency reuse, reduction of intersymbol interference (ISI) and co-channel interference rejection (CCI)[1]. Space Division Multiple Access, where multiple user signals are simultaneously transmitted and received over same conventional time and frequency channels by using multiple antennas, dramatically increases spectral efficiency. SDMA is realized with beam forming and null forming techniques which accounts for co-channel interference rejection. Channel equalization is done using adaptive equalizer to mitigate the effects of ISI. This paper discusses SDMA technology with digital beam forming with the novel idea of including the Variable step-size LMS algorithm along with MUSIC algorithm employed in MAC protocol for IEEE 802.11 and the results of simulation are analyzed for their performance.

Research paper thumbnail of Glaucoma disease detection using stacked attention U-Net and deep convolutional neural network

Journal of Intelligent & Fuzzy Systems

Glaucoma is a condition of the eye that is caused by an increase in the eye’s intraocular pressur... more Glaucoma is a condition of the eye that is caused by an increase in the eye’s intraocular pressure that, when it reaches its advanced stage, causes the patient to lose all of their vision. Thus, glaucoma screening-based treatment administered in a timely manner has the potential to prevent the patient from losing all of their vision. However, because glaucoma screening is a complicated process and there is a shortage of human resources, we frequently experience delays, which can lead to an increase in the proportion of people who have lost their eyesight worldwide. In order to overcome the limitations of current manual approaches, there is a critical need to create a reliable automated framework for early detection of Optic Disc (OD) and Optic Cup (OC) lesions. In addition, the classification process is made more difficult by the high degree of overlap between the lesion and eye colour. In this paper, we proposed an automatic detection of Glaucoma disease. In this proposed model is ...

Research paper thumbnail of Professors

Abstract—Diagonal loading imparts Robustness to the adaptive beamformer against signal mismatch d... more Abstract—Diagonal loading imparts Robustness to the adaptive beamformer against signal mismatch due to low sample support. It helps to achieve desired sidelobe level and to improve Signal to Interference plus Noise Ratio (SINR). In this paper, variants of Minimum Variance Distortionless Response-Sample Matrix Inversion (MVDR-SMI) beamformer with diagonal loading are analyzed. A novel hybrid algorithm, MVDR-SMI beamformer with Colored Adaptive Diagonal Loading is also proposed in this paper. The simulation experiments show improvement in directivity and SINR compared to other existing MVDR-SMI beamformers with diagonal loading.

Research paper thumbnail of Synthesis of linear antenna array using genetic algorithm with cost based roulette to maximize side lobe level reduction

WSEAS TRANSACTIONS on COMMUNICATIONS archive, 2011

This paper discusses the deployment of Genetic algorithm optimization method for synthesis of ant... more This paper discusses the deployment of Genetic algorithm optimization method for synthesis of antenna array radiation pattern in adaptive beam forming. The synthesis problem discussed is to find the weights of the antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the side lobe level. This technique proved its effectiveness in improving the performance of the antenna array.

Research paper thumbnail of Investigation on the Performance of Linear Antenna Array synthesis using Genetic Algorithm

Research paper thumbnail of Beamforming using Particle Swarm Optimization

International journal of engineering research and technology, 2020

Beamforming is a signal processing technique by which an array of receivers sensitive to signals ... more Beamforming is a signal processing technique by which an array of receivers sensitive to signals from all directions can be processed to form one larger signal. Beamforming technique is a key factor to high throughput objective achieved by reduction in errors occurring in data transmission and reception. In this paper digital beamforming is to be designed with a specified response like a sidelobe level reduction, forming a null response points in interference direction or jamming frequency improving the gain of the antenna towards intended user. So we use optimal beamforming using optimization technique, to achieve a desired response. For that Particle Swarm Optimization (PSO) is a desired candidate. PSO is known as a heuristic robust stochastic optimization technique based on swarm intelligence that is inspired by the behaviour of bird flocking, which applies the concept of social interaction to problem solving in various fields such as physics, chemistry, economics and engineering...

Research paper thumbnail of Reducing Intersymbol Interference using Adaline Network with LMS Learning Rule For Improving the Performance of Wireless Communications

In numerous applications in communications and signal processing, it is necessary to remove noise... more In numerous applications in communications and signal processing, it is necessary to remove noise and distortion from the signal received. These are mainly due to time- varying physical processes which are sometime unknown. The use of adaptive filtering that diminishes and eliminates the signal distortion completely. For adaptive filtering FIR filters are preferred because they are stable and no special adjustments are needed for implementation. The adaptation is done using the Adaline network which uses the LMS learning rule. This paper presents the LMS algorithm using Adaline network. Keywords - LMS algorithm, Adaptive filter, Adaline Network, Intersymbol Interference

Research paper thumbnail of Certain investigations on the reduction of side lobe level of an uniform linear antenna array using biogeography based optimization technique with sinusoidal migration model and simplified-BBO

Sadhana, 2014

In this paper, we propose biogeography based optimization technique, with linear and sinusoidal m... more In this paper, we propose biogeography based optimization technique, with linear and sinusoidal migration models and simplified biogeography based optimization (S-BBO), for uniformly spaced linear antenna array synthesis to maximize the reduction of side lobe level (SLL). This paper explores biogeography theory. It generalizes two migration models in BBO namely, linear migration model and sinusoidal migration model. The performance of SLL reduction in ULA is investigated. Our performance study shows that among the two, sinusoidal migration model is a promising candidate for optimization. In our work, simplified-BBO algorithm is also deployed. This determines an optimum set value for amplitude excitations of antenna array elements that generate a radiation pattern with maximum side lobe level reduction. Our detailed investigation also shows that sinusoidal migration model of BBO performs better compared to the other evolutionary algorithms discussed in this paper.

Research paper thumbnail of Synthesis of Uniform Linear Antenna Array Using Genetic Algorithm with Cost Based Roulette to Maximize Sidelobe Level Reduction

International Journal of Information Acquisition, 2011

This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of... more This paper discusses the deployment of Genetic Algorithm optimization method for the synthesis of antenna array radiation pattern in adaptive beamforming. The synthesis problem discussed is to find the weights of the Uniform Linear Antenna array elements that are optimum to provide the radiation pattern with maximum reduction in the sidelobe level. This technique proved its effectiveness in improving the performance of the antenna array.

Research paper thumbnail of Investigations on the synthesis of uniform linear antenna array using biogeography-based optimisation techniques

International Journal of Bio-Inspired Computation, 2012

This paper presents the use of biogeography-based optimisation (BBO) algorithm for uniform linear... more This paper presents the use of biogeography-based optimisation (BBO) algorithm for uniform linear antenna array (ULA) synthesis using amplitude only control method. BBO is a new evolutionary algorithm (EA) proposed by Dan Simon in the year 2008. The first objective of this paper is to optimise the excitation magnitude of array elements to minimise the maximum side lobe levels. Second objective is to place nulls at specific directions for the optimised pattern by optimising a weight parameter. We review classic BBO and modified biogeography-based optimisation (M-BBO) with two migration models namely linear and sinusoidal. Several simulation experiments are conducted on ULA using BBO techniques to minimise the maximum side lobe level (SLL) imposed with broad nulls. We compare the results of simulation case studies of classic BBO and M-BBO with other EAs such as ACO, GA and StudGA. Best performance is achieved using BBO techniques compared to other EAs for our design problem. The major aim of our investigation is to expose BBO to the EM community and demonstrate its great potential in antenna array design optimisation problem.

Research paper thumbnail of Reducing Intersymbol Interference using Adaline Network with LMS Learning Rule For Improving the Performance of Wireless Communications

In numerous applications in communications and signal processing, it is necessary to remove nois... more In numerous applications in communications and signal processing, it is necessary to remove noise and distortion from the signal received. These are mainly due to time-varying physical processes which are sometime unknown. The use of adaptive filtering that diminishes and eliminates the signal distortion completely. For adaptive filtering FIR filters are preferred because they are stable and no special adjustments are needed for implementation. The adaptation is done using the Adaline network which uses the LMS learning rule. This paper presents the LMS algorithm using Adaline network.

Research paper thumbnail of Smart antennaaoa estimation employing MUSIC algorithm and digital beamforming by Variable step-size LMS algorithm with novel MAC protocol For IEEE 802. …

… and Computers in …, Jan 1, 2010

Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless com... more Smart antenna using multiple antennas exploring the SDMA technology has been used in wireless communication systems which provides higher spectrum efficiency, improved link quality and throughput through frequency reuse, reduction of intersymbol interference (ISI) and co-channel interference rejection (CCI) . Space Division Multiple Access, where multiple user signals are simultaneously transmitted and received over same conventional time and frequency channels by using multiple antennas, dramatically increases spectral efficiency. SDMA is realized with beam forming and null forming techniques which accounts for co-channel interference rejection. Channel equalization is done using adaptive equalizer to mitigate the effects of ISI. This paper discusses SDMA technology with digital beam forming with the novel idea of including the Variable step-size LMS algorithm along with MUSIC algorithm employed in MAC protocol for IEEE 802.11 and the results of simulation are analyzed for their performance.