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DOA estimation of coherent sources

Author: YuJun
Tutor: ZhangXiaoFei
School: Nanjing University of Aeronautics and Astronautics
Course: Signal and Information Processing
Keywords: Coherent signal DOA Estimation Cross Array Toeplitz matrices ESPRIT algorithm Multi-invariance ESPRIT algorithm Multi-invariance MUSIC algorithm Trilinear Decomposition Algorithm
CLC: TN911.7
Type: Master's thesis
Year: 2009
Downloads: 156
Quote: 2
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Abstract


Coherent Sources DOA Estimation array signal processing is a research hotspot , radar , communications, sonar and other fields have a wide range of applications. This article is based on a narrowband signal Yuanyang DOA Estimation of Coherent Sources conducted in-depth research . Firstly, the current two common sources of decorrelation algorithms are summarized and compared. Spatial smoothing technique its small amount of calculation , easy to implement , for coherent signal source DOA estimation has good estimation performance , but it is at the expense of the effective number of array elements array decorrelation exchange capacity , there is a certain loss of array aperture , and in the low SNR performance of the algorithm is poor. Toeplitz matrix reconstruction algorithm was recently proposed by constructing a Toeplitz matrix so that the receiving coherent source covariance matrix restored to full rank matrix , thus decoherence ESPRIT method algorithm without loss of array aperture and resolution algorithm outperforms conventional spatial smoothing techniques, and have a lower amount of computation , with a strong prospect. Secondly , this paper studies on the basis of previous algorithm is proposed based on Toeplitz matrix remodeling Multi-invariance ESPRIT method , Multi-invariance MUSIC method and trilinear decomposition method , simulation results show that the performance of these three methods were significantly distinguish decorrelation algorithm is superior to the commonly used , and these three methods can break Toeplitz matrix reconstruction algorithm to estimate the number of signal limitations , in order to estimate more sources. Finally, the paper presents a coherent signals using the cross -dimensional array DOA estimation method, the method than the current two-dimensional estimation algorithm is simple and easy to implement. Simulation results show that this algorithm has a better dimensional DOA estimation performance , and has low computational complexity , high resolution features.

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