A Novel Approach to DOA Estimation

Zhou Yi; Feng Da-zheng; Liu Jian-qiang

Volume 27 Issue 10

Oct. 2005

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Article Navigation > Journal of Electronics & Information Technology > 2005 > 27(10): 1513-1516

Zhou Yi, Feng Da-zheng, Liu Jian-qiang. A Novel Approach to DOA Estimation[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1513-1516.

Citation:

Zhou Yi, Feng Da-zheng, Liu Jian-qiang. A Novel Approach to DOA Estimation[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1513-1516.

Zhou Yi, Feng Da-zheng, Liu Jian-qiang. A Novel Approach to DOA Estimation[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1513-1516.

Citation:

Zhou Yi, Feng Da-zheng, Liu Jian-qiang. A Novel Approach to DOA Estimation[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1513-1516.

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A Novel Approach to DOA Estimation

Received Date: 2004-04-05
Rev Recd Date: 2004-08-20
Publish Date: 2005-10-19

Abstract

Abstract

The key issue of the subspace-based Direction Of Arrival (DOA) estimation lies in the estimation of signal subspace with high quality. In the case of uncorrelated signals while the signals are temporally correlated ones, a novel approach for estimation of DOA in unknown correlated noise fields is proposed. Based on the biorthogonality between a matrix and its Moore-Penrose pseudo-inverse, the proposed method makes no assumptions on the spatial covariance matrix of the noise. The approach exploits the structural information of a set of spatio-temporal correlation matrices, and gives a robust and precise estimation of signal subspace to obtain a precise estimation of DOA. The performances are confirmed by computer simulation results.

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References

Schmidt R O. Multiple emitter location and signal parameter estimation. IEEE Trans. on AP, 1986, 34(3): 276-280.[2]Roy R, Kailath T. ESPRIT- Estimation of signal parameters via[3]rotational invariance techniques. IEEE Trans. on ASSP, 1989, 37(7): 984-995.[4]Viberg M, Stoica P, Ottersten B. Array processing in correlated noise fields based on instrumental variables and subspace fitting[J].IEEE Trans. on SP.1995, 43(5):1187-1199[5]Li F, Vaccaro R J. Performance degradation of DOA estimators due tounknown noise fields[J].IEEE Trans. on SP.1992, 40(3):686-689[6]Pesavento M, Gershman A B. Maximum-likelihood direction-of-[7]arrival estimation in the presence of unknown nonuniform noise. IEEE Trans. on SP, 2001, 49(7): 1310-1324.[8]吴云韬,廖桂生,陈建峰. 一种色噪声环境下的DOA估计新算法. 电子学报,2001,29(12): 1605-1607.[9]Belouchrani A, Amin M G, Abed-Meraim K. Direction finding in correlated noise fields based on joint block-diagonalization of spatio-temporal correlation matrices[J].IEEE Signal Processing Letters.1997, 4(9):266-268[10]Feng D Z, Zhang X D, Bao Z. An efficient multistage decomposition approach for independent components[J].Signal Processing.2003, 83(1):181-197[11]Feng D Z, Bao Z, Zhang X D. Multistage decomposition algorithm for blind source separation. Progress in Nature Science, 2002, 12(5): 378-382.[12]冯大政, 保铮, 张贤达. 信号盲分离问题多阶段分解算法. 自然科学进展, 2002, 12(3): 324-328.[13]Wu Y H, Tam K W. On determination of the number of signals inspatia-lly correlated noise. IEEE Trans. on SP, 1998, 44(11): 3023-3029.

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