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MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm

by Pallavi Agrawal, Madhu Shandilya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 130 - Number 15
Year of Publication: 2015
Authors: Pallavi Agrawal, Madhu Shandilya
10.5120/ijca2015907175

Pallavi Agrawal, Madhu Shandilya . MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm. International Journal of Computer Applications. 130, 15 ( November 2015), 22-27. DOI=10.5120/ijca2015907175

@article{ 10.5120/ijca2015907175,
author = { Pallavi Agrawal, Madhu Shandilya },
title = { MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 130 },
number = { 15 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 22-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume130/number15/23286-2015907175/ },
doi = { 10.5120/ijca2015907175 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:25:42.115299+05:30
%A Pallavi Agrawal
%A Madhu Shandilya
%T MATLAB Simulation of Subspace based High Resolution Direction of Arrival Estimation Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 130
%N 15
%P 22-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Over the past decades there has been technological breakthrough from analog to digital. Ever since the world war and also the invention of electromagnetic radio, there has always been an urge to know from which direction the signals were arriving to the listener’s direction finding receiver. The methodology of determining the direction of arrival (DOA) of incoming signals impinging on the uniform antenna array has drastically changed from conventional methods to subspace based methods. The main goal of this paper is to provide a comparative study of various classical multi-channel DOA algorithms and subspace based high resolution multi-channel DOA algorithms for multiple signals which are arriving at different DOA. Also detailed algorithm analysis and performance evaluation for subspace based multiple signal classification (MUSIC) algorithm is provided. It is shown that subspace based high resolution multi-channel MUSIC algorithm is statistically efficient and is a promising method for use against military communication in an electronic warfare direction finding system.

References
  1. HongY Wang, Modern Spectrum Estimation, Dongnan University Press, 1990.
  2. Eder, Rafael, and Johannes Gerstmayr. "Special Genetic Identification Algorithm with smoothing in the frequency domain." Advances in Engineering Software 70 (2014): 113-122.
  3. Yaakov, B., and Li, X., Estimation and Tracking: Principle, Techniques, Artech House, 1995.
  4. Xianda Zhang, Zheng Bao, Communication Signal Processing, National Defence Industry Press, 2000.
  5. Xianda Zhang, Modern Signal Processing, Tsinghua Press, 2000.
  6. Haykin,S. (1985), Radar array processing for angle of arrival estimation, in: S, Haykin, ed., Array signal processing, Prentice –Hall, Englewood Cliffs, NJ, ch, 4, 194-292.
  7. C.H Yu, J.L Li. A White Noise Filtering Method for DOA Estimation of Coherent Signals in Low SNR. Signal Processing. July 2012. Vol. 28. No. 7. pp 957-62.
  8. L.N Yang. Study of Factors Affecting Accuracy of DOA. Modern Rader. June 2007. Vol. 29. No. 6. pp 70-3.
  9. Zhang XF, Chen C, Li JF, Xu DZ. Blind DOA and Polarization Estimation for Polarization-sensitive Array using Dimension Reduction MUSIC. Multidimensional Systems and Signal Processing. Jan, 2014, 25-1. P67~82.
  10. Peter Stonica etc. MUSIC Maximum Likelihood and Cramer-Rao Bond, IEEE Trans on ASSP. 1989. Vol. 37(5). P720~741.
  11. Harry B. Lee etc. Resolution Threshold Beamspace MUSIC for Two Closely Spaced Emitters. IEEE Trans on ASSP. 1990. Vol. 38(9). P723~738.
  12. Fei Wen, Qun Wan, Rong Fan, Hewen Wei. Improved MUSIC Algorithm for Multiple Noncoherent Subarrays. IEEE Signal Processing Letters. Vol. 21, no. 5, May, 2014.
  13. Greensted, “Delay sum beamforming.” [Online]. Available: http://www.labbookpages.co.uk/audio/beamforming/delaySum.html.
  14. Demba E. Ba, Dinei Florencio and Cha Zhang, “Enhanced MVDR Beamforming for Arrays of Directional Microphones,” in proceedings ICME, IEEE, July 2007.
  15. Christ D. Richmond, “Adaptive Array Detection, Estimation and Beamforming,” Workshop on Stochastic Eigen-Analysis and its Applications, MIT Lincoln Laboratory, July 10th 2006.
  16. Gilat Amos. MATLAB: an Introduction with Application. 3rd edition. Wiley; John Wiley. Cop 2008.
Index Terms

Computer Science
Information Sciences

Keywords

Direction of Arrival Subspace Electromagnetic radio MUSIC.

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