采用相干积累矢量平滑实现小样本信号解相干

doi:10.3969/j.issn.1001-2400.2011.06.018

J4 ›› 2011, Vol. 38 ›› Issue (6): 113-116+139.doi: 10.3969/j.issn.1001-2400.2011.06.018

采用相干积累矢量平滑实现小样本信号解相干

李涛^1,2;李国林¹;徐珩¹;廖辉荣²

(1. 91550部队 220所，辽宁大连 116021;
2. 海军航空工程学院 7系，山东烟台 264001)

收稿日期:2010-09-25 出版日期:2011-12-20 发布日期:2011-11-29
作者简介:李涛(1981-)，男，海军航空工程学院博士研究生，E-mail: littff@126.com

Small sample signals' decorrelation using the coherent accumulation vector' spatial smoothing

LI Tao^1,2;LI Guolin¹;XU Heng¹;LIAO Huirong²

(1. Institute 220 of 91550 PLA Troops, Dalian 116021， China;
2. Dept. 7 of Naval Aeronautics and Astronautics Univ., Yantai 264001， China)

Received:2010-09-25 Online:2011-12-20 Published:2011-11-29

摘要/Abstract

摘要：

提出了一种基于相干积累矢量空间平滑的解相干算法，该算法基于相干积累的原理来构建矢量，其对阵列输出进行相干积累后得到特征矢量，由此特征矢量进行前后向空间平滑，构建矩阵，实现解相干．最后由该矩阵奇异值分解得到信号或噪声子空间，与现有解相干算法相比，运算量大大下降．仿真结果表明，该算法具有很好的抗噪性，其在信噪比高于-14dB时保持了与基于特征分解的矢量奇异值法相似的性能．

关键词: 窄带信号, DOA估计, 解相干, 相干积累

Abstract:

When estimating the DOA of narrowband signals, if the snapshot number is small, decorrelation operation is necessary because for all the snapshots, their amplitude and phase are unchanged, which makes signals from different directions coherent. For this kind of signals, existing decorrelation algorithms always need too much computation or are sensitive to SNR. This paper proposes taking coherent accumulation operation for array outputs, and the resulting vector is used to construct a matrix by forward and backward smoothing. By taking SVD of this matrix, the signal and noise subspace is obtained then. Simulation results indicate that this method is of excellent noise-resistance performance with great computational complexity reduction in contract to existing decorrelation algorithms. It has the same performance as ESVD algorithms based on eigen-decomposition, when the SNR is higher than -14dB.

Key words: narrowband signal, DOA estimation, decorrelation, coherent accumulation

中图分类号:

TN958

李涛;李国林;徐珩;廖辉荣. 采用相干积累矢量平滑实现小样本信号解相干[J]. J4, 2011, 38(6): 113-116+139.

LI Tao;LI Guolin;XU Heng;LIAO Huirong. Small sample signals' decorrelation using the coherent accumulation vector' spatial smoothing[J]. J4, 2011, 38(6): 113-116+139.

参考文献

［1］ Ray K P, Kulkarni K, Kasyap R B. DOA Estimation in a Multipath Environment Using Covariance Differencing and Iterative forward and Backward Spatial Smoothing［C］//International Conference on Recent Advances in Microwave Theory and Applications. Jaipur: Microvave, 2008: 794-796.
［2］ Dmochowski J, Benesty J, Affes S. Direction of Arrival Estimation Using Eigenanalysis of the Parameterized Spatial Correlation Matrix［C］//IEEE International Conference on Acoustics, Speech, and Signal Processing 2007. Honolulu: IEEE, 2007: 1-4.
［3］ Ye Zhongfu, Xiang Li, Xu Xu. DOA Estimation with Circular Array Via Spatial Averaging Algorithm［J］. IEEE Antennas and Wireless Propagation Letters, 2007(6): 74-76.
［4］ Xu Dihua, Chen Jianwen, Wu You. A Novel Subspace Coherent Signal Processing Algorithm for High-resolution DOA Estimation［C］//International Symposium on Intelligent Signal Processing and Communications. Yonago: IEEE, 2006: 653-656.
［5］ Bai Jun, Shen Xiaohong, Wang Haiyan, et al. Improved Toeplitz Algorithms to Coherent Sources DOA Estimation［C］//2010 International Conference on Measuring Technology and Mechatronics Automation. Changsha: IEEE, 2010: 442-445.
［6］ Hu Xiaoqin, Chen Jianwen, Chen Hui. Estimation DOAs of the Coherent Sources Based on Toeplitz Decorrelation［C］//2008 Congress on Image and Signal Processing. Sanya: CISP, 2008: 54-58.
［7］ Han Fangming, Zhang Xianda. An ESPRIT-like Algorithm for Coherent DOA Estimation［J］. IEEE Antennas and Wireless Propagation Letters, 2005(4): 443-446.
［8］ Liu Liguo, Gai Yibing, Wang Haisong. An Improved ESPRIT-like Algorithm for Coherent Signal and Its Application for 2-D DOA Estimation［C］//7th International Symposium on Antennas, Propagation ＆ EM Theory. Singapore: ISAPE, 2006: 1-4.
［9］谢锘, 张润生, 葛建华, 等. 基于正交投影的宽带相干信源空间谱测向算法［J］. 西安电子科技大学学报, 2010, 37(3): 576-580.
Xie Nuo, Zhang Runsheng, Ge Jianhua, et al. Orthogonal Projection-based Spatial Spectrum Algorithm for Finding the Direction of the Wideband Coherent Source［J］. Journal of Xidian University, 2010, 37(3): 576-580.
［10］谢鑫, 李国林, 李涛. 窄带信号小样本谱估计算法［J］. 海军航空工程学院学报, 2009, 24(6): 604-608.
Xie Xin, Li Goulin, Li Tao. Spectrum Estimation of Narrow Band Signals Using a Small Sample［J］. Journal of Naval Aeronautical and Astronautical University, 2009, 24(6): 604-608.

[1]	段亭宇, 水鹏朗, 封天. 对数正态纹理海杂波背景非相干CFAR检测方法[J]. 西安电子科技大学学报, 2022, 49(5): 1-8.
[2]	王凌;李国林;刘坚强;毛维平. 一种基于数据矩阵重构的相干信源二维测向新方法[J]. J4, 2013, 40(2): 130-137.
[3]	赵永波;周晓佩;王娟. 一种用于弱信号检测的广义Keystone变换算法[J]. J4, 2013, 40(2): 98-102+122.
[4]	罗勇江;赵国庆;斯海飞. 一种多Chirp信号交叠环境下TDOA估计的新方法[J]. J4, 2011, 38(4): 42-48.
[5]	李涛;冯大政;夏宇垠. 一种新的非相干积累算法[J]. J4, 2010, 37(2): 267-272.
[6]	曲志昱;司锡才;朱晓. 一种反辐射导弹抗非相干诱饵的新方法[J]. J4, 2009, 36(6): 1132-1138.
[7]	张浩;张志军;朱国军. 信源数目估计误差影响下的修正二维MUSIC算法分析 [J]. J4, 2007, 34(4): 577-582.
[8]	周祎;冯大政;刘建强. 一种新的近场源参数估计的子空间方法[J]. J4, 2006, 33(1): 41-45.
[9]	陈建锋1;吴云韬1;张贤达2. 色噪声环境下的快速DOA估计算法[J]. J4, 2003, 30(2): 151-154.
[10]	吴云韬;廖桂生;张光斌. 空间非平稳噪声环境下的DOA估计新算法[J]. J4, 2003, 30(1): 51-54.
[11]	姜正林;保铮;邢孟道. 低分辨雷达编队目标分辨新方法[J]. J4, 2001, 28(4): 482-487.
[12]	黄源宝;郑义明;保铮. 基于多特显点综合的SAR/ISAR自聚焦[J]. J4, 2001, 28(1): 105-110.
[13]	暂时无作者信息. 低分辨雷达成像定标算法性能分析[J]. J4, 2000, 27(6): 677-682.
[14]	詹毅;马长征;梁昌洪. 宽带相关信号的参数估计问题[J]. J4, 1999, 26(4): 466-471.

采用相干积累矢量平滑实现小样本信号解相干

Small sample signals' decorrelation using the coherent accumulation vector' spatial smoothing

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 14

Metrics

本文评价

推荐阅读 0