一种小样本支持的多级最小模级联相消器

黄庆东; 张林让; 李国民; 卢光跃

doi:10.3724/SP.J.1146.2009.00352

一种小样本支持的多级最小模级联相消器

doi: 10.3724/SP.J.1146.2009.00352

黄庆东^①②,,
张林让^①,
李国民^①③,
卢光跃^②

计量
- 文章访问数: 3723
- HTML全文浏览量: 119
- PDF下载量: 724
- 被引次数: 0
出版历程
- 收稿日期: 2009-03-19
- 修回日期: 2007-07-13
- 刊出日期: 2010-03-19

A Multistage Minimal Module Cascaded Canceller Under Small Samples Support

Huang Qing-dong^{①②
,},
Zhang Lin-rang^①,
Li Guo-min^①③,
Lu Guang-yue^②

摘要

摘要: 该文针对阵列信号自适应相消器运算量大、收敛性能易受相关干扰影响等缺点，提出了一种改进的阵列信号多级级联相消器方法，该方法用通道间具有最小模的样本商作为复权，替代多级维纳滤波器的权值计算，具有收敛速度快、运算量小等特点，且对受相关干扰影响的非平稳数据工作性能良好。仿真结果表明，此算法用较少样本就可取得采样协方差求逆(SMI)类算法相同的收敛性能。
- 阵列信号处理; 采样协方差求逆; 低复杂度; 最小模级联相消器; 中位数级联相消器
Abstract: Due to the defects of high complexity and instability convergence performance in the array signal adaptive canceller under the correlated interference, an enhanced array signal multistage cascaded canceller is proposed by substituting the weights of the multistage Winner filter for the minimal module weights, which have the minimal module of the samples quotient between channels. The enhanced algorithm has the ability of fast convergence, less operation and performs well with non-stationary samples distorted by the correlated interference. Simulation results indicate the algorithm can reach convergent performance of the kind of Sample Matrix Inversion (SMI) algorithm using less samples.

HTML全文

参考文献(1)

Goldstein J S, Reed I S, and Scharf L L. A multistagerepresentation of the wiener filter based on orthogonalprojections[J].IEEE Transactions Information Theory.1998,44(7):2943-2959[2]Goldstein J S, Reed I S, and Zulch P A. Multistage partiallyadaptive STAP CFAR detection algorithm[J].IEEETransactions on Aerospace and Electronic Systems.1999,35(2):645-661[3]黄磊, 吴顺君, 张林让, 冯大政. 快速子空间分解方法及其维数的快速估计[J] . 电子学报, 2005, 33(6): 977-981.Huang Lei, Wu Shun-jun, Zhang Lin-rang, and FengDa-zheng . A fast method for subspace decomposition and itsdimension estimation[J]. Acta Eledtronica Sinica, 2005, 33(6):977-981.[4]Goldstein J S and Reed I S . A new method of wiener filteringand its application to interference mitigation forcommunications[C]. Proc MILCOM 1997, Monterey,California, 1997, 3: 1087-1091.[5]Rodrigo C d L and Raimundo S. Reduced-rank adaptivefiltering based on joint iterative optimization of adaptivefilters[J].IEEE Signal Processing Letters.2007, 14(12):980-983[6]刘聪锋, 廖桂生. 基于最差性能最优的稳健STAP算法[J] . 电子学报, 2008, 36(3): 581-585.Liu Cong-feng and Liao Gui-sheng. Robust STAP algorithmusing worse-case performance optimization[J]. ActaEledtronica Sinica, 2008, 36(3): 581-585.[7]黄庆东, 张林让, 卢光跃. 基于最小模的级联相消器[J], 西安电子科技大学学报.Huang Qing-dong, Zhang Lin-rang, and Lu Guang-yue. Aminimum module value cascaded canceller [J]. Journal ofXidian University.[8]Picciolo M L and Gerlach K. Median cascaded canceller forrobust adaptive array processing[J].IEEE Transactions onAerospace and Electronic Systems.2003, 39(3):883-900[9]Picciolo M L and Gerlach K . An adaptive multistage mediancascaded canceller[C]. IEEE Conference Proceeding IEEERadar Conference 2002 , Long Beach, 2002: 22-25.[10]Picciolo M L and Gerlach K. Reiterative median cascadedcanceler for robust adaptive array processing[J].IEEETransactions on Aerospace and Electronic Systems.2007,43(2):428-442[11]Goldstein J S and Reed I S. Performance measures foroptimal constrained beamformers[J].IEEE Transactions onAntennas and Propagation.1997, 45(1):11-14

施引文献

资源附件(0)

访问统计