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一種新穎的DOA估計算法

周祎,  馮大政,  劉建強

周祎, 馮大政, 劉建強. 一種新穎的DOA估計算法[J]. 電子與信息學(xué)報, 2005, 27(10): 1513-1516.
引用本文: 周祎, 馮大政, 劉建強. 一種新穎的DOA估計算法[J]. 電子與信息學(xué)報, 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.

一種新穎的DOA估計算法

A Novel Approach to DOA Estimation

  • 摘要: 子空間類波達方向(Direction Of Arrival, DOA)估計算法的關(guān)鍵在于得到高質(zhì)量的信號子空間估計。該文利用矩陣偽逆的雙正交性，針對源信號不相關(guān)而其本身是色信號的情況，給出了一種新穎的DOA估計算法，它不需要知道噪聲統(tǒng)計特性。該算法利用一組空時相關(guān)矩陣的結(jié)構(gòu)化信息，能穩(wěn)健而精確地估計出信號子空間，從而得到DOA的精確估計。仿真實驗證實了所給算法的有效性。
    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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  • 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]吳云韜,廖桂生,陳建峰. 一種色噪聲環(huán)境下的DOA估計新算法. 電子學(xué)報,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]馮大政, 保錚, 張賢達. 信號盲分離問題多階段分解算法. 自然科學(xué)進展, 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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出版歷程
  • 收稿日期:  2004-04-05
  • 修回日期:  2004-08-20
  • 刊出日期:  2005-10-19

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