鱼雷技术Issue(2)：110-114,131,6.
基于稀疏重建和压缩感知波束形成的高分辨DOA估计
High Resolution Direction-of-Arrive Estimation Based on Sparse Reconstruction and Compressive Sensing Beamforming
摘要
Abstract
A novel compression perception model is established by making use of the spatial sparsity. A random com-pression matrix is constructed by designing a new compressive sampling way with compressive sensing(CS) theory. And another compression matrix is obtained by applying approximate QR decomposition to Gaussian random matrix in order to get a better restricted isometry property(RIP) constant. Singular value decomposition(SVD) is adopted on the data matrix to extract signal subspace for getting low dimensional form of receiving data matrix. Two different kinds of me-thods for DOA estimation are proposed based on the new compression matrices. One is for CS recovery, i.e. QR singular value decomposition multi-vectors FOCal undetermined system solve(QR-SVD-MFOCUSS); the other is for CS beam-forming, i.e. random singular value decomposition compressive sensing beamforming(RSVD-CSB) and QR singular value decomposition compressive sensing beamforming(QRSVD-CSB). Simulation results show that, compared to the multi-vectors FOCal undetermined system solver(MFOCUSS) algorithms, QR-SVD-MFOCUSS is suitable for low sig-nal-to-noise ratio(SNR) condition with significant reduction of computational burden; and compared to the minimum variance distortionless response(MVDR) algorithms and the CS beamforming algorithms, the proposed method pos-sesses higher angular resolution, lower root mean square error(RMSE), better estimation performance, and so on.关键词
方位估计/压缩感知/QR 分解/波束形成Key words
direction-of-arrival estimation/compressive sensing(CS)/QR decomposition/compressive sensing(CS)beamforming分类
武器工业引用本文复制引用
陈玉凤,黄建国,苏建军..基于稀疏重建和压缩感知波束形成的高分辨DOA估计[J].鱼雷技术,2013,(2):110-114,131,6.基金项目
国家自然科学基金(60972152) （60972152）
国家重点实验室基金(9140C230309110C23) （9140C230309110C23）
西北工业大学基础研究基金(JC201027) （JC201027）
