回溯降维相干分布式非圆信号DOA快速估计

发布时间：2018-01-09 23:08

本文关键词：回溯降维相干分布式非圆信号DOA快速估计　出处：《航空学报》2017年09期 　论文类型：期刊论文

【摘要】：在相干分布式非圆(CDNC)信号波达方向(DOA)估计中,针对阵列输出矩阵扩展后维数增加带来的较大运算量问题,基于降维的多级维纳滤波(MSWF)技术,引入回溯优化思想,提出了一种快速估计算法。该算法首先利用信号非圆特性扩展阵列输出矩阵,然后通过MSWF递推分解快速求出信号子空间,避免了计算阵列协方差矩阵及特征分解,并且在递推过程中引入回溯优化机制提高了各级匹配滤波器的估计性能,最后由最小二乘(LS)或者总体最小二乘(TLS)得到DOA估计。仿真分析表明,所提算法与相干分布式非圆信号旋转不变子空间算法(CDNC-ESPRIT)性能相当,但复杂度得到了大幅度降低,相比于基于MSWF的非圆信号快速子空间(NC-MSWF-FS)算法,在较小的复杂度代价下大幅度提升了低信噪比时的估计性能,并且对初始参考信号的选取具有了较强的鲁棒性。
[Abstract]:In the coherent distributed non-circular CDNC) signal DOA estimation, the problem of increasing the dimension of array output matrix is presented. Based on the dimensionally reduced multistage Wiener filter (MSWF) technique, a fast estimation algorithm is proposed by introducing the idea of backtracking optimization. Firstly, the signal non-circular characteristic is used to extend the array output matrix. Then the signal subspace is obtained quickly by MSWF recursive decomposition, which avoids the calculation of the array covariance matrix and the eigen-decomposition. And the backtracking optimization mechanism is introduced in the recursive process to improve the estimation performance of matched filters at all levels. Finally, the DOA estimation is obtained from the least squares (LS) or the total least squares (TLS). The simulation results show that. The proposed algorithm is comparable to the coherent distributed non-circular signal rotation invariant subspace algorithm (CDNC-ESPRIT), but the complexity is greatly reduced. Compared with the NC-MSWF-FS algorithm based on MSWF, the estimation performance of NC-MSWF-FS algorithm with low SNR is greatly improved at lower complexity cost. And the selection of the initial reference signal is robust.
【作者单位】：解放军信息工程大学信息系统工程学院;
【基金】：国家自然科学基金(61401513)~~
【分类号】：TN911.7
【正文快照】： 网络出版地址:www.cnki.net/kcms/detail/11.1929.V.20170323.1750.010.html引用格式:代正亮,巴斌,张彦奎,等.回溯降维相干分布式非圆信号DOA快速估计[J].航空学报,2017,38(9):321034.DAI Z L,BA B,ZHANG Y K,et al.Fast DOA estimation for coherently distributed noncircul

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