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

• 研究论文 • 上一篇    下一篇



  1. (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
  • 通讯作者: 李涛
  • 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 Tao1,2;LI Guolin1;XU Heng1;LIAO Huirong2

  1. (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
  • Contact: LI Tao



关键词: 窄带信号, DOA估计, 解相干, 相干积累


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


  • TN958