A Low Complexity 2D-DOA Estimation Algorithm using Signal Decomposition
This study proposes an Estimation of Signal Parameter via Rotational Invariance Techniques (ESPRIT) based algorithm for estimating the two-dimensionaldirection-of-arrivals (2D-DOA) of signals impinging on a uniform rectangular array (URA). The basic idea of the proposed algorithm is to decompose the URA receive signal into several groups subject to the associated spatial signatures. Two rounds of onedimensional ESPRIT (1D-ESPRTT) algorithms are conducted to estimate the spatial signature for the signal decomposition. The first round 1D-ESPRIT is applied on columns of the URA whereas the other round 1D-ESPRTT is on the rows of the URA. In between, a grouping technique is developed to generate signal groups each containing signals with distinct spatial signatures. The grouping technique is performed by using a minimum variance distortionless response (MVDR) based spatial fitter. Computer simulations show that, in addition to having significantly reduced computational complexity, the proposed algorithm possesses better estimation accuracy as compared to the conventional 2D-ESPRIT algorithm.
Yung-Yi Wang Wei-Wei Chen
Department of Electrical Engineering Chang Gung University Taoyuan, Taiwan
国际会议
2012 4th International High Speed Intelligent Communication Forum(2012年国际高速智能通信论坛 HSIC2012)
南京
英文
253-256
2012-05-17（万方平台首次上网日期，不代表论文的发表时间）