修正主模抑制穩(wěn)健自適應(yīng)波束形成算法

王昊; 馬啟明

doi:10.11999/JEIT170236

修正主模抑制穩(wěn)健自適應(yīng)波束形成算法

doi: 10.11999/JEIT170236

王昊¹,
馬啟明¹

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- 文章訪問數(shù): 1394
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-03-20
- 修回日期: 2017-05-31
- 刊出日期: 2017-11-19

Modified Dominant Mode Rejection Robust Adaptive Beamforming Algorithm

WANG Hao¹,
MA Qiming¹

摘要

摘要: 針對自適應(yīng)波束形成器在少快拍和波束指向角度失配情況下性能嚴(yán)重下降的問題，該文提出一種基于修正協(xié)方差矩陣的穩(wěn)健主模抑制算法。算法提出利用修正協(xié)方差矩陣估計(jì)主模成分，進(jìn)而重構(gòu)出數(shù)據(jù)協(xié)方差矩陣，同時(shí)利用其特征向量向期望信號導(dǎo)引向量的投影來確定信號子空間維數(shù)。為提高算法在低信噪比情況下的性能，提出利用信號區(qū)域積分得到正定矩陣，以其主特征向量對信號子空間進(jìn)行擴(kuò)充，再將導(dǎo)引向量向信號子空間進(jìn)行投影得到修正的導(dǎo)引向量。最終利用重構(gòu)協(xié)方差矩陣及修正導(dǎo)引向量得到最優(yōu)權(quán)值。理論分析和仿真實(shí)驗(yàn)驗(yàn)證了所提算法的有效性和穩(wěn)健性。
- 信號與信息處理 /
- 自適應(yīng)波束形成 /
- 主模抑制 /
- 修正協(xié)方差矩陣 /
- 少快拍 /
- 角度失配
Abstract: In order to solve the problem of adaptive beamformer performance degradation due to few snapshots and mainlobe angle mismatch, a robust dominant mode rejection adaptive beamforming algorithm based on modified covariance matrix is proposed. The algorithm employs modified covariance matrix to estimate dominant mode component and reconstructs covariance matrix. Then, the signal subspace is obtained by projecting the steering vector of the desired signal onto eigenvector of the reconstructed covariance matrix, for enhancing the performance of algorithm at low SNR, the algorithm uses the principal eigenvector of a positive define matrix which integrates the desired signal region to modify signal subspace, thus calibrated steering vector of the desired signal is obtained by projecting the presumed steering vector onto the modified signal subspace. Finally, the optimal weight is obtained from the reconstructed covariance matrix and the calibrated steering vector. Theoretical analysis and simulation show the effectiveness and robustness of the proposed algorithm.
- Signal and information processing /
- Adaptive beamforming /
- Dominant mode rejection /
- Modified covariance matrix /
- Few snapshots /
- Angle mismatch

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參考文獻(xiàn)(19)

ABRAHAM D A and OWSLEY N L. Beamforming with dominant mode rejection[C]. IEEE OCEANS Conference, Washington, 1990: 470-475. doi: 10.1109/ OCEANS.1990. 584812.

DU Lin, LI Jian, and PETER S. Fully automatic computation of diagonal loading levels for robust adaptive beamforming[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 449-458. doi: 10.1109/TAES. 2010.5417174.

ZHANG W, WANG J, and WU S. Robust Capon beamforming against large DOA mismatch[J]. Signal Processing, 2013, 93(4): 804-810. doi: 10.1016/j.sigpro.2012. 10.002.

FELDMAN D D and GRIFFITHS L J. A projection approach for robust adaptive beamforming[J]. IEEE Transactions on Signal Processing, 1994, 42(4): 867-876. doi: 10.1109/78.285650.

FELDMAN D D and GRIFFITHS L J. A constraint projection approach for robust adaptive beamforming[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada, 1991: 1381-1384. doi: 10.1109/ICASSP.1991.150680.

LI Jian, PETER S, and WANG Z. On robust Capon beamforming and diagonal loading[J]. IEEE Transactions on Signal Processing, 2003, 51(7): 1702-1715. doi: 10.1109/TSP. 2003.812831.

CAPON J. High-resolution frequency-wavenumber spectrum analysis[J]. Proceedings of the IEEE, 1969, 57(8): 1408-1418. doi: 10.1109/PROC.1969.7278.

YU L, LIU W, and LANGLEY R. SINR analysis of the subtraction-based SMI beamformer[J]. IEEE Transactions on Signal Processing, 2010, 58(11): 5926-5932. doi: 10.1109/TSP. 2010.2058801.

ZHANG L, LIU W, and YU L. Performance analysis for finite sample MVDR beamformer with forward backward processing[J]. IEEE Transactions on Signal Processing, 2011, 59(5): 2427-2431. doi: 10.1109/TSP.2011.2109957.

JOHN E, RUSSEL C, and MARK E. Comment on mofied MUSIC algorithm for estimating DOA of signals[J]. Signal Processing, 1996, 55(2): 253-254. doi: 10.1016/S0165- 1684(96)00179-X.

WAGE K E and BUCK J R. Snapshot performance of the dominant mode rejection beamformer[J]. IEEE Journal of Oceanic Engineering, 2014, 39(2): 212-225. doi: 10.1109/JOE. 2013.2251538.

WAGE K E and BUCK J R. SINR loss of the dominant mode rejection beamformer[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, Queensland, 2015: 2499-2503. doi: 10.1109/ICASSP.2015. 7178421.

JOSE A D S and KATHLEEN E W. An improved whitening transformation for snapshot-deficient scenarios[C]. OCEANS 2015 MTS/IEEE Washington, 2015: 1-6. doi: 10.23919/ OCEANS.2015.7404410.

SHAN Chao, WU Y, and WANG Y. ESB-DMR beamforming

under random matrix theory judgment principle[C]. IET International Radar Conference, Hangzhou, China, 2015: 1-4. doi: 10.1049/cp.2015.1006.

SOMASUNDARAM S D and PARSONS N H. Evaluation of robust Capon beamforming for passive sonar[J]. IEEE Journal of Oceanic Engineering, 2011, 36(4): 686-695. doi: 10.1109/JOE.2011.2167374.

GU Y and LESHEM A. Robust adaptive beamforming based on interference covariance matrix reconstruction and steering vector[J]. IEEE Transactions on Signal Process, 2012, 60(7): 3881-3885. doi: 10.1109/TSP.2012.2194289.

HUANG L, ZHANG J, XU X, et al. Robust adaptive beamforming with a novel interference-plus-noise covariance matrix reconstruction method[J]. IEEE Transactions on Signal Processing, 2015, 63(7): 1643-1650. doi: 10.1109/TSP. 2015.2396002.

YUAN X and GAN L. Robust adaptive beamforming via a novel subspace method for interference covariance matrix reconstruction[J]. Signal Processing, 2017, 130: 233-242. doi: 10.1016/j.sigpro.2016.07.008.

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