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基于数据矩阵聚焦的宽带DOA 算法

  • 刘春静 ,
  • 刘枫 ,
  • 张曙
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  • 1 哈尔滨工程大学信息与通信工程学院,哈尔滨 150001
    2 信息综合控制国家重点实验室,成都 610036

刘春静(1985-),男,四川遂宁人,博士研究生,研究方向:自适应阵列处理‚统计信号处理。

收稿日期: 2009-04-06

  网络出版日期: 2025-05-19

基金资助

“十一五”国防预研基金资助

A Wideband DOA Algorithm Based on Data Matrix Focusing

  • LIU Chunjing ,
  • LIU Feng ,
  • ZHANG Shu
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  • 1 College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
    2 National Information Control Laboratory, Chengdu 610036, China

Received date: 2009-04-06

  Online published: 2025-05-19

摘要

传统的基于相干信号空间聚焦的宽带DOA算法具有良好的空间分辨能力、较低的信噪比门限,但必须通过角度预估计来构造相应的聚焦矩阵。文中提出了一种不需要角度预估的相干宽带DOA算法,直接利用阵列接收数据构造聚焦变换矩阵,避免了预估计角度对聚焦变换的影响,同时降低了算法的运算量。计算机仿真表明该算法是有效的。

本文引用格式

刘春静 , 刘枫 , 张曙 . 基于数据矩阵聚焦的宽带DOA 算法[J]. 弹箭与制导学报, 2010 , 30(1) : 190 -192 . DOI: 10.15892/j.cnki.djzdxb.2010.01.058

Abstract

The conventional wideband direction of arrival (DOA) algorithms based on coherent signal-subspace focusing have excellent spatial resolution ability and low signal-to-noise threshold. However, they must rely on the preliminary angle estimates to construct the corresponding focusing matrices. This paper presents a coherent wideband DOA algorithm without using the initial estimates of angles. The proposed method processes the array output vectors directly to construct the focusing matrices that aim at avoiding the influence of the predetermined angle estimates. Furthermore, the new method reduces the computational burden. Computer simulation results have proved that the provided algorithm is effective.

参考文献

[1]
H Wang and M Kaveh. Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wideband sources[J]. IEEE Trans. ASSP, 1985,33(4):823-831.
[2]
H S Hung and C Y Mao. Robust coherent signal-subspace processing for direction of arrival estimation of wideband sources[J]. IEEE Proceedings of Radar, Sonar and Navigation, 1994,141(5):256-262.
[3]
H Hung and M Kaveh. Focusing matrices for coherent signal-subspace processing[J]. IEEE Trans. ASSP, 1988,36(8):1272-1282.
[4]
M A Doron and A J Weiss. On focusing matrices for wideband array processingJ]. IEEE Trans. SP, 1992, 40(6):1295-1302.
[5]
S Valaee and P Kabal. Wideband array processing using a two-sided correlation transformation[J]. IEEE Trans. SP, 1995,43(1):160-172.
[6]
E D D Claudio and R Parisi. WAVES: weighted average of signal subspaces for robust wideband direction finding[J]. IEEE Trans. SP, 2001,49(10):2179-2191.
[7]
R O Schmidt. Multiple emitter location and signal parameter estimation[J]. IEEE Trans. SP, 1990,38(8): 1424-1435.
[8]
S Valaee and P Kabal. The optimal focusing subspace for coherent signal subspace processing[J]. IEEE Trans SP, 1996,44(3):752-756.
[9]
D Swingler and J Krolik. Source location bias in the coherently focused high-resolution broadband beamformer[J]. IEEE Trans. ASSP, 1989,37(1):143-145.
[10]
F Sellone. Robust auto-focusing wideband DOA estimation[J]. Signal Processing, 2006,86(1):17-37.
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