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Fast DOA estimation for coherently distributed noncircular sources by backtracking reduced dimension
Received date: 2016-12-07
Revised date: 2017-03-15
Online published: 2017-03-23
Supported by
National Natural Science Foundation of China (61401513)
In the estimation of Direction of Arrival (DOA) for coherently distributed noncircular (CDNC) signals, the increase of dimension caused by array output matrix extension can bring a large amount of computation. For the problem, a fast estimation algorithm based on the Multi-Stage Wiener Filter (MSWF) technology is proposed by introducing the idea of backtracking optimization. The proposed algorithm first uses the noncircularity of the signal to extend the array output matrix. The signal subspace is then obtained by using the recursive decomposition characteristic of the MSWF, so as to avoid the computation of the covariance matrix and the characteristic decomposition of the matrix. In the recursive decomposition process, the backtracking optimization mechanism is introduced to improve the estimation performance of the matched filter. The DOA estimation can be obtained by the Least Squares (LS) or the Total Least Squares (TLS). Simulation results show that the performance of the proposed algorithm with a much lower complexity is comparable with the rotation invariant subspace algorithm based on CDNC (CDNC-ESPRIT). Compared to the fast noncircular signal subspaced algorithm based on the MSWF (NC-MSWF-FS), the proposed algorithm can effectively improve performance at lower complexity cost in low signal to noise ratio. The simulation also shows that the proposed algorithm is more robust to the initial reference signal.
DAI Zhengliang , BA Bin , ZHANG Yankui , CUI Weijia , WANG Daming . Fast DOA estimation for coherently distributed noncircular sources by backtracking reduced dimension[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017 , 38(9) : 321034 -321034 . DOI: 10.7527/S1000-6893.2017.321034
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