基于失配误差正交分解的稳健自适应波束形成

邹翔; 张旻; 钟子发

doi:10.3724/SP.J.1146.2010.00049

基于失配误差正交分解的稳健自适应波束形成

doi: 10.3724/SP.J.1146.2010.00049

基金项目:

国家自然科学基金(60972161)资助课题

计量
- 文章访问数: 3037
- HTML全文浏览量: 80
- PDF下载量: 677
- 被引次数: 0
出版历程
- 收稿日期: 2010-01-15
- 修回日期: 2010-06-01
- 刊出日期: 2010-10-19

Robust Adaptive Beamforming Based on Mismatch Errors Orthogonal Decomposition

摘要

摘要: 针对自适应波束形成中期望信号导向矢量的失配问题，该文提出了一种利用失配误差的正交分量来逐步修正期望信号导向矢量的自适应波束形成方法。该方法首先构造两个正交子空间，正交分解失配误差以后，通过引入松弛变量，把修正过程转化为解决迭代的二次凸优化问题。提出的方法没有假定失配误差模约束或概率约束，从而避免了上限估计和概率分布建模。仿真结果验证了方法的有效性。
- 自适应波束形成 /
- 正交分解 /
- 凸二次规划 /
- 松弛变量
Abstract: A novel algorithm for robust adaptive beamforming is presented in this paper to solve the problem of the mismatch errors between the actual and presumed steering vectors. By using the orthogonal component of the errors, the method can obtain the desired steering vectors successfully. Two orthogonal subspaces are constructed firstly, and then the mismatch errors are orthogonally decomposed, so the correcting process of steering vectors is transformed into an iterative quadratic convex optimization issue by using a slack variable. The proposed algorithm does not need the conditions of the norm or probability constraint of the mismatch errors. Therefore, it avoids estimating upper bound values and probability distribution modeling. Simulation results show the effectiveness of the proposed algorithm.
- Adaptive beamforming /
- Orthogonal decomposition /
- Convex quadratic programming /
- Slack variable

HTML全文

参考文献(1)

[1] Curletto S, Palmese M, and Trucco A. On the optimization of the transmitted beam in contrast-enhanced ultrasound medical imaging[J].IEEE Transactions on Instrument Measurement.2007, 56(4):1239-1248 [2] Lee Heunchul, Park Seokhwan, and Lee Inkyu. Transmit beamforming method based on maximum-norm combining for MIMO systems[J].IEEE Transactions on Wireless Communications.2009, 8(4):2067-2075 [3] Myllyla V and Hamalainen M. Adaptive beamforming menthods for dynamically steered microphone array systems[C]. ICASSP 2008, Las Vegas, Nevada, USA, March 30-April 4, 2008: 305-308. [4] Kumatani K, McDonough J, Rauch B, Klakow D, Philip N.Garner, and Li Wei fengBeamforming with a maximum negentropy criterion[J].. IEEE Transactions on Audio, Speech, and Language Processing.2009, 17(5):994-1008 [5] Gaudes C C, Santamara I, and Va J, et al.. Robust array beamforming with sidelobe control using support vector machines[J].IEEE Transactions on Signal Processing.2007, 55(2):574-584 [6] Li J, Stoica P, and Wang Z. On robust capon beamforming and diagonal loading[J].IEEE Transactions on Signal Processing.2003, 51(7):1702-1715 [7] Li J, Stoica P, and Wang Z. Doubly constrained robust capon beamforming[J].IEEE Transactions on Signal Processing.2004, 52(9):2407-2423 [8] Vorobyov S A, Gershman A B, and Luo Z Q. Robust adaptive beamforming using worst-case performance optimization: a solution to the signal mismatch problem[J].IEEE Transactions on Signal Processing.2003, 51(2):313-324 [9] Vorobyov S A, Chen Haihua, and Gershman A B. On the relationship between robust minimum variance beamformers with probabilistic and worst-case distortionless response constraints[J].IEEE Transactions on Signal Processing.2008, 56(11):5719-5724

施引文献

资源附件(0)

访问统计