电子学报 ›› 2015, Vol. 43 ›› Issue (10): 2028-2033.DOI: 10.3969/j.issn.0372-2112.2015.10.022

• 学术论文 • 上一篇    下一篇

基于EM算法的宽带信号DOA估计及盲分离

熊坤来1, 刘章孟1, 柳征1, 姜文利1, 汪华兴2   

  1. 1. 国防科技大学电子科学与工程学院, 湖南长沙 410073;
    2. 解放军61541部队, 北京 100094
  • 收稿日期:2014-01-03 修回日期:2014-07-30 出版日期:2015-10-25
    • 作者简介:
    • 熊坤来 男,1986年生于湖南益阳.分别于2008年和2011年获得解放军电子工程学院学士和硕士学位.现为国防科学技术大学电子科学与工程学院博士研究生.研究方向为盲源分离、阵列信号处理等.E-mail:comecloud@163.com;刘章孟 男,1984年生于湖北天门.现为国防科学技术大学电子科学与工程学院讲师.研究方向为阵列信号处理、稀疏重构等.E-mail:liuzhangmeng@nudt.edu.cn
    • 基金资助:
    • 国家自然科学基金 (No.61302141)

Broadband DOA Estimation and Blind Source Separation Based on EM Algorithm

XIONG Kun-lai1, LIU Zhang-meng1, LIU Zheng1, JIANG Wen-li1, WANG Hua-xing2   

  1. 1. School of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China;
    2. Unit 61541 of PLA, Beijing 100094, China
  • Received:2014-01-03 Revised:2014-07-30 Online:2015-10-25 Published:2015-10-25
    • Supported by:
    • National Natural Science Foundation of China (No.61302141)

摘要:

本文提出了一种基于EM算法的宽带信号DOA估计与盲分离方法.首先将宽带混合信号转换到频域,然后综合利用带宽内所有频点信息建立似然函数,在此基础上推导出宽带条件下的EM迭代式,从而实现宽带信号DOA及波形的联合估计.并且本文通过分析EM算法的收敛性,自适应的设定角度搜索空间,提高了算法的运算效率.与传统方法相比,本文方法运用的有效信息更多,因此,其在DOA估计精度及波形恢复性能方面都更有优势.仿真实验表明了该算法的有效性.

关键词: 宽带信号, EM算法, DOA估计, 信号分离

Abstract:

Based on the expectation-maximization (EM) algorithm, a new method for broadband direction of arrival (DOA) estimation and blind source separation is presented in this paper.First, we establish a likelihood function in the frequency domain by jointly using all frequencies information.Then, based on this function, the E-step and M-step in the frame of broadband EM algorithm are derived.Finally, we jointly estimate DOAs and sources through EM iteration compute.Moreover, through analyses the convergence of EM algorithm, we set adapted angle search space for DOA estimation, which reduce the computations of our algorithm.Compare to the traditional method, more effective information are applied in our algorithm.Therefore, the proposed algorithm has more advantages for DOA estimation and source separation.Simulation results demonstrate our algorithm is effective.

Key words: broadband signal, EM algorithm, DOA estimation, source separation

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