Estimation Direction Arrival of Smart Antenna (original) (raw)
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Performance analysis of direction of arrival algorithms for Smart Antenna
International Journal of Electrical and Computer Engineering (IJECE)
This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed ...
Angle of Arrival Estimation in Smart Antenna for Wireless Communication
International Journal of Engineering & Technology, 2018
Smart antenna technology has emerged as one of the most efficient techniques in supporting maximum communication link throughput. A smart antenna system with innovative signal processing can enhance the resolution of a signal’s direction of arrival estimation. Successful design of Smart antenna is dependent on the efficient performance of DOA estimation algorithm as well as beamforming algorithm. This paper presents a comparative performance study between Classical Beam forming method, MUSIC (Multiple Signal Classification), MVDR (Minimum Variance Distortion less Response) which are different direction of arrival algorithms used in linear antenna array. The objective is to analyse and compare these algorithms and determine which provides maximum efficiency.
Study of Various Algorithms for Direction of Arrival Estimation In Smart Antenna
—Smart Antenna system has received much attention in the last few years because they can increase system capacity by dynamically tuning out interference while focusing on the intended user along with impressive advances in the field of digital signal processing. They offer wide bandwidth, less interference, flexibility, high speed, phase and low propagation loss. On the other hand the performance stability of smart antenna depends upon the Direction of arrival estimation of the signals which are incident on the antenna array. In Smart antenna, to locate the desired signal, various direction of arrival (DOA) estimation algorithms are used. In this paper besides a short review on the advances on smart antenna, certain assumptions for the DOA estimation has been shown. A uniform linear array is used to explain the algorithms. In the rest of study, we focus on different types of algorithms for DOA estimation with their performance comparison
Mobile communication networks face ever-increasing demands on their spectrum and infrastructure resources. Increased minutes of use, capacity-intensive data applications and the steady growth of worldwide mobile subscribers means that carriers will have to find effective ways to accommodate increased wireless traffic in their networks. Thus, the smart antennas system becomes capable to locate and track signals by the both: users and interferers and dynamically adapts the antenna pattern to enhance the reception in Signal-Of-Interest direction and minimizing interference in Signal-Of-Not-Interest direction. Hence, Space Division Multiple Access system, which uses smart antennas, is widely used in mobile communication systems, because it shows improvement in channel capacity and co-channel interference. But on the other hand the performance stability of smart antenna system greatly depends on efficiency of Direction of Arrival (DOA), which is used to estimate the angle of arrival of the number of incidents plane waves on the antenna array. This paper shows an effort on the study of performance analysis of DOA estimation Algorithms-MUSIC and ESPRIT for Adaptive Array Smart Antenna for Mobile Communication on different performance parameters such as number of elements, number of snap shots, noise mean, noise variance and spacing between elements.
DOA Estimation Algorithm for Smart Antennas-An Investigation
2015
High resolution direction-of-arrival (DOA) estimation is important in many applications and over the years many techniques have been proposed. The signal subspace method (MUSIC) [1] has been the most popular and is known to yield asymptotically unbiased and efficient estimates. The MUSIC algorithm estimates the signal subspace from the array measurements and then estimates the parameters of interest from the intersections between the array manifold and the estimated signal. In this work DOA estimation based on MUSIC algorithm and improved MUSIC algorithm is investigated. The classical MUSIC algorithm is analyzed and results of simulations using Matlab are presented. Results for the DOA estimation of the noncoherent signals and coherent signals are found.
An Overview of Direction-Of-Arrival Estimation Using an Antenna Array with Four Elements
American Journal of Applied Sciences, 2012
The Direction-of-Arrival (DOA) estimation techniques using antenna arrays are applied in large areas of research fields and have received great attention in literature. Mobile communication, Sonar and Radar are just some examples among a large number of possible applications. For example, in military application, it is very important to recognize the direction of any threat. Another example of commercial application is to identify the direction of an emergency cell phone call so that the rescue unit can act in time to the right location. Thereby, DOA estimation using a traditional fixed antenna has many limitations and becomes inappropriate in such applications. In this letter, we describe a DOA estimation system based on an antenna array and five port circuits for detecting arrival angles in azimuth plane of signals pitched by the antenna array. For this, we have based on Multiple Signal Classification (MUSIC) algorithm, which showed a certain limit of its performance in spite of its big reputation by the researchers. In our case, we only consider uncorrelated signals and assume the channel parameters corresponding to a real context. The purpose is to compare the quality of the detected angle in term of precision depending on the number of the samples depicted. ADS software and MATLAB are used to achieve this study. The simulation results on the proposed system designed to operate at 2.4 GHz frequency indicate that MUSIC algorithm is unable to automatically detect and localize the DOA of signals with high accuracy. Other algorithms exist and may provide more precision but require more computation time.
Performance analysis of direction of arrival estimation with a uniform circular array
2012 IEEE Aerospace Conference, 2012
High resolution directional of arrival (DOA) estimation technology play an important role in passive RF signal source localization, enhancing the performance of MIMO and beamforming arrays for mobile wireless communication. This paper presents the performance analysis and comparison for MUltiple SIgnal Classification (MUSIC) DOA estimation algorithm with uniform circular arrays (UCA). It has been reported that DOA estimation accuracy can also be fundamentally limited by the size of the region over which we measure a waveform. This paper we present our study for DOA estimation with UCAs in the presence of mutual coupling. The dipole model has been chosen for mutual coupling matrix calculation. Root mean square error (RMSE) of DOA estimation vs. array radius with and without mutual coupling, with different number of signal sources, for even and odd array element number were presented. 1 2
Direction of Arrival Estimation using MUSIC Algorithm for Antenna Arrays
Direction of arrival (DOA) estimation has been a vital area of research since few decades due to its importance in applications like wireless communications, navigation, radar, sonar and soon. The resolution being one of the main challenges in the direction of arrival estimation can be enhanced by using an array antenna system with reliable signal processing. High resolution techniques make use of array antenna structures to efficiently process the incoming signals. This paper simulates a high resolution subspace based DOA algorithm namely; Multiple Signal Classification (MUSIC) on a uniform linear array in the presence of white Gaussian noise. The paper also provides an extensive discussion on importance of Adaptive beam forming algorithm used in mobile communication systems along with the DOA algorithm. The simulation results indicate that MUSIC which is a subspace based method provides high spatial resolution and the resolution improves as the number of array elements, number of snapshots and spacing between the array elements increase. It also showed that increase of separation angle between the two sources also gives better results.
Indian Journal of Science and Technology, 2016
Smart antenna system after determination of Direction of Arrival (DOA) of signal, generates beam toward user and null toward interferer and enhances the security and capacity in mobile network. The objective of the present work is to determine weaker coherent and non-coherent signals with low Signal-to-Ratio (SNR) in heavily faded areas, where performances of other conventional algorithms are not good. For the determination of weaker signal accurately, a combined method using Blind Source Separation (BSS) based Joint Approximation Diagonalisation of Eigen matrices (JADE) and Multiple Signal Classification (MUSIC) algorithm is used. From simulated results, it is found that the resolution of MUSIC algorithm can be enhanced using this combined method. Also the capability of detection of angle of incoming signal can be enhanced using this proposed method. Since, smart antenna system is one of the main technologies in fourth generation mobile communication and beyond, the proposed method may be useful for next generation mobile communication.
Direction of Arrival (Doa) Estimation for Smart Antennas in Weather Impacted Environments
Progress in Electromagnetics Research C, 2019
Direction of arrival estimation (DOA) is critical in antenna design for emphasizing the desired signal and minimizing interference. The scarcity of radio spectrum has fuelled the migration of communication networks to higher frequencies. This has resulted in radio propagation challenges due to the adverse environmental elements otherwise unexperienced at lower frequencies. In rainfallimpacted environments, DOA estimation is greatly affected by signal attenuation and scattering at the higher frequencies. Therefore, new DOA algorithms cognisant of these factors need to be developed and the performance of the existing algorithms quantified. This work investigates the performance of the Conventional Minimum Variance Distortion-less Look (MVDL), Subspace DOA Estimation Methods of Multiple Signal Classification (MUSIC), and the developed estimation algorithm on a weather impacted wireless channel, Advanced-MUSIC (A-MUSIC). The results show performance degradation in a rainfall impacted communication network with the developed algorithm showing better performance degradation.