A Fast Algorithm for 2D DOA Estimation Using an Omnidirectional Sensor Array

The traditional 2D MUSIC algorithm fixes the azimuth or the elevation, and searches for the other without considering the directions of sources. A spectrum peak diffusion effect phenomenon is observed and may be utilized to detect the approximate directions of sources. Accordingly, a fast 2D MUSIC algorithm, which performs azimuth and elevation simultaneous searches (henceforth referred to as AESS) based on only three rounds of search is proposed. Firstly, AESS searches along a circle to detect the approximate source directions. Then, a subsequent search is launched along several straight lines based on these approximate directions. Finally, the 2D Direction of Arrival (DOA) of each source is derived by searching on several small concentric circles. Unlike the 2D MUSIC algorithm, AESS does not fix any azimuth and elevation parameters. Instead, the adjacent point of each search possesses different azimuth and elevation, i.e., azimuth and elevation are simultaneously searched to ensure that the search path is minimized, and hence the total spectral search over the angular field of view is avoided. Simulation results demonstrate the performance characters of the proposed AESS over some existing algorithms.

[1]  H. Rogier,et al.  A Hybrid UCA-RARE/Root-MUSIC Approach for 2-D Direction of Arrival Estimation in Uniform Circular Arrays in the Presence of Mutual Coupling , 2007, IEEE Transactions on Antennas and Propagation.

[2]  Govind R. Kadambi,et al.  A Formulation of 1-D Search Technique for 2-D DOA Estimation Using Orthogonally Polarized Components of Linear Array , 2015, IEEE Antennas and Wireless Propagation Letters.

[3]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .

[4]  Lei Huang,et al.  Improved Unitary Root-MUSIC for DOA Estimation Based on Pseudo-Noise Resampling , 2014, IEEE Signal Processing Letters.

[5]  T. Engin Tuncer,et al.  A fast and automatically paired 2-D direction-of-arrival estimation with and without estimating the mutual coupling coefficients , 2010 .

[6]  S. Kikuchi,et al.  Pair-Matching Method for Estimating 2-D Angle of Arrival With a Cross-Correlation Matrix , 2006, IEEE Antennas and Wireless Propagation Letters.

[7]  Arthur Jay Barabell,et al.  Improving the resolution performance of eigenstructure-based direction-finding algorithms , 1983, ICASSP.

[8]  Shih-Jen Yang,et al.  A Tree Structure One-Dimensional Based Algorithm for Estimating the Two-Dimensional Direction of Arrivals and Its Performance Analysis , 2008, IEEE Transactions on Antennas and Propagation.

[9]  Visa Koivunen,et al.  DoA and Polarization Estimation for Arbitrary Array Configurations , 2012, IEEE Transactions on Signal Processing.

[10]  Wong,et al.  Root-MUSIC-based direction-finding and polarization estimation using diversely polarized possibly collocated antennas , 2004, IEEE Antennas and Wireless Propagation Letters.

[11]  References , 1971 .

[12]  Shefeng Yan,et al.  2-D Unitary ESPRIT-Like Direction-of-Arrival (DOA) Estimation for Coherent Signals with a Uniform Rectangular Array , 2013, Sensors.

[13]  Hiroyuki Arai,et al.  APRD-MUSIC Algorithm DOA Estimation for Reactance Based Uniform Circular Array , 2016, IEEE Transactions on Antennas and Propagation.

[14]  Jian Yang,et al.  Variable step-size diffusion least mean fourth algorithm for distributed estimation , 2016, Signal Process..

[15]  S. Kwong,et al.  ESPRIT-Like Two-Dimensional DOA Estimation for Coherent Signals , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[16]  S. Kwong,et al.  Estimation of 2-dimensional frequencies using modified matrix pencil method , 2005, IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, 2005..

[17]  Josef A. Nossek,et al.  Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden , 1995, IEEE Trans. Signal Process..

[18]  Shengyong Chen,et al.  Diffusion LMS with component-wise variable step-size over sensor networks , 2016, IET Signal Process..

[19]  R. Lynn Kirlin,et al.  Cross-coupled DOA trackers , 1997, IEEE Trans. Signal Process..

[20]  Xian-Da Zhang,et al.  An ESPRIT-like algorithm for coherent DOA estimation , 2005, IEEE Antennas and Wireless Propagation Letters.

[21]  Xuemin Shen,et al.  DECOM: DOA estimation with combined MUSIC for coprime array , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[22]  Marius Pesavento,et al.  One- and two-dimensional direction-of-arrival estimation: An overview of search-free techniques , 2010, Signal Process..

[23]  B. Friedlander,et al.  Direction finding for diversely polarized signals using polynomial rooting , 1991, [1991] Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers.

[24]  Yi Zhou,et al.  A novel algorithm for two-dimensional frequency estimation , 2007, Signal Process..

[25]  Anthony J. Weiss,et al.  Direction finding for diversely polarized signals using polynomial rooting , 1993, IEEE Trans. Signal Process..

[26]  Z. Ye,et al.  2-D DOA Estimation in the Presence of Mutual Coupling , 2008, IEEE Transactions on Antennas and Propagation.

[27]  Michael D. Zoltowski,et al.  Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT , 1996, IEEE Trans. Signal Process..