Two-dimensional direction of arrival estimation by exploiting the symmetric configuration of uniform rectangular array

In this study, a new two-dimensional direction of arrival (2D DOA) estimation method is proposed for a uniform rectangular array (URA). The impinging signals are a mixture of uncorrelated and coherent signals. The method consists of two steps. The DOAs of uncorrelated signals are first estimated by a modified 2D estimation of signal parameters via rotational invariance techniques (ESPRIT). Then the contributions of uncorrelated signals and noises are eliminated after performing a subtraction operation on the elements of the covariance matrix and only those of coherent signals remain. Based on these subtracted elements, a decorrelating matrix with a larger size is constructed to estimate the DOAs of coherent signals. These two-step processes can be carried out in parallel because there is no inherent relationship between them. The proposed method has high estimation precision, needs no 2D angle searching and is suitable for the array no matter whether the number of sensors is odd or even. Simulation results demonstrate the effectiveness and performance of the proposed method.

[1]  Thomas Kailath,et al.  Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..

[2]  Heng-Ming Tai,et al.  2-D direction-of-arrival estimation of coherent signals using cross-correlation matrix , 2008, Signal Process..

[3]  Z. Ye,et al.  Estimation of two-dimensional direction-of-arrival for uncorrelated and coherent signals with low complexity , 2010 .

[4]  Anthony J. Weiss,et al.  Direction finding in the presence of mutual coupling , 1991 .

[5]  Kui Liu,et al.  2-D spatial smoothing for multipath coherent signal separation , 1998 .

[6]  Y. Zhang,et al.  A Deflation Approach to Direction of Arrival Estimation for Symmetric Uniform Linear Array , 2006, IEEE Antennas and Wireless Propagation Letters.

[7]  Xiao-Ye Xu,et al.  Direction of arrival estimation for uncorrelated and coherent signals with uniform linear array , 2009 .

[8]  S. Unnikrishna Pillai,et al.  Forward/backward spatial smoothing techniques for coherent signal identification , 1989, IEEE Trans. Acoust. Speech Signal Process..

[9]  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.

[10]  L. Godara.  Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations , 1997, Proc. IEEE.

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

[12]  Anthony J. Weiss,et al.  On maximum-likelihood localization of coherent signals , 1996, IEEE Trans. Signal Process..

[13]  Ju-Hong Lee,et al.  Estimating two-dimensional angles of arrival in coherent source environment , 1989, IEEE Trans. Acoust. Speech Signal Process..

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

[15]  J. Litva,et al.  Radial basis function neural network for direction-of-arrivals estimation , 1994, IEEE Signal Processing Letters.

[16]  P. Li,et al.  Two-dimensional spatial-spectrum estimation of coherent signals without spatial smoothing and eigendecomposition , 1996 .

[17]  Xiao-Ye Xu,et al.  Two-dimensional direction of arrival estimation in the presence of uncorrelated and coherent signals , 2009 .

[18]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[19]  Z. Ye,et al.  DOA Estimation by Exploiting the Symmetric Configuration of Uniform Linear Array , 2007, IEEE Transactions on Antennas and Propagation.

[20]  P. Rocca,et al.  An Innovative Multiresolution Approach for DOA Estimation Based on a Support Vector Classification , 2009, IEEE Transactions on Antennas and Propagation.