DocumentCode :
3579859
Title :
Low-Complexity Matrix Reconstruction-Based Method for Direction Estimation of Coherent Signals
Author :
Heping Shi ; Wen Leng ; Anguo Wang ; Tongfeng Guo
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2014
Firstpage :
382
Lastpage :
385
Abstract :
A novel direction finding method called Toeplitz matrix reconstruction-based orthonormal propagator method (TMR-OPM) is proposed for narrowband coherent signals impinging on a uniform linear array (ULA). In the proposed method, the coherency of incident signals is firstly decor related through reconstructing a Hermitian Toeplitz matrix formed from fourth-order cumulants (FOC). And in Gaussian noise case, it is proved theoretically that the rank of this Toeplitz matrix is determined merely by the number of incident sources and has no relations with the coherency of the signals. Finally, the coherent signals can be resolved by performing the orthonormal propagator method (OPM). Without spectrum-peak searching and eigenvalue decomposition (EVD) of the Toeplitz matrix, the presented method can provide significantly lower computational complexity and yield good estimation performance. The theoretical analysis and simulation results confirm the effectiveness and efficiency of the proposed method.
Keywords :
Gaussian noise; Toeplitz matrices; array signal processing; estimation theory; Gaussian noise; TMR-OPM; Toeplitz matrix reconstruction-based orthonormal propagator method; ULA; coherent signal direction estimation; uniform linear array; Arrays; Computational complexity; Direction-of-arrival estimation; Estimation; Sensors; Signal to noise ratio; Toeplitz matrice; coherent signals; direction-of-arrival; fourth-order cumulants; orthonormal propagator method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
Type :
conf
DOI :
10.1109/ISCID.2014.112
Filename :
7064215
Link To Document :
بازگشت