DOA Estimation of Uncorrelated and Coherent Mixed Signals in Colored Noise

RAO Wei; JIA Feng-qin; LI Dan

doi:10.12263/DZXB.20211216

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DOA Estimation of Uncorrelated and Coherent Mixed Signals in Colored Noise

PAPERS | 更新时间：2025-12-08

- DOA Estimation of Uncorrelated and Coherent Mixed Signals in Colored Noise
- ACTA ELECTRONICA SINICA Vol. 51, Issue 3, Pages: 622-631(2023)
- 作者机构：
  
  1.南昌工程学院信息工程学院，江西南昌 330099
  2.复旦大学信息科学与工程学院，上海 200433
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61961025);Natural Science Foundation of Jiangxi Province(20202BABL202001)
- DOI：10.12263/DZXB.20211216
  CLC： TN911.7
- Received：03 September 2021，
  
  Revised：2022-03-24，
  
  Published：25 March 2023
- 稿件说明：
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饶伟,贾凤勤,李旦.有色噪声下不相关和相干混合信号的DOA估计[J].电子学报,2023,51(03):622-631.

RAO Wei,JIA Feng-qin,LI Dan.DOA Estimation of Uncorrelated and Coherent Mixed Signals in Colored Noise[J].ACTA ELECTRONICA SINICA,2023,51(03):622-631.
饶伟,贾凤勤,李旦.有色噪声下不相关和相干混合信号的DOA估计[J].电子学报,2023,51(03):622-631. DOI： 10.12263/DZXB.20211216.

RAO Wei,JIA Feng-qin,LI Dan.DOA Estimation of Uncorrelated and Coherent Mixed Signals in Colored Noise[J].ACTA ELECTRONICA SINICA,2023,51(03):622-631. DOI： 10.12263/DZXB.20211216.

摘要

针对有色噪声背景下的不相关和相干混合入射信号，本文提出了一种新的波达角度（Direction Of Arrival，DOA）估计方法.首先对混合信号协方差矩阵进行分析和处理以消除其中的有色噪声部分.在此基础上，先利用多重信号分类（Multiple Signal Classification，MUSIC）方法或旋转不变信号参数估计（Estimation of Signal Parameters via Rotational Invariance Techniques，ESPRIT）法估计出不相关信号的DOA；然后利用改进的空间差分方法构造出一个新的只含有相干信号的协方差矩阵，且无秩亏损；最后利用MUSIC算法或ESPRIT算法从中估计出相干信号的DOA.和文献报道的方法相比，新方法具有更优的混合信号DOA估计性能，尤其对于相干信号.仿真结果验证了该算法的有效性.

Abstract

A new direction-of-arrival (DOA) estimation method is proposed for uncorrelated and coherent mixed signals in the background of colored noise. Firstly

the covariance matrix of the mixed signals is analyzed and processed to eliminate the colored noise. On this basis

the DOA of uncorrelated signals is first estimated by the multiple signal classification (MUSIC) method or the estimation of signal parameters via rotational invariance techniques (ESPRIT) method. Then a new covariance matrix containing only coherent signals without rank deficit is constructed by using the improved spatial difference method. Finally

the DOA of coherent signals is estimated by MUSIC or ESPRIT. The proposed method outperform related methods in estimating DOA of mixed signals

especially coherent signals. Simulation results show the effectiveness of the proposed algorithm.

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references

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