时变遗忘因子动态DOA跟踪算法

doi:10.13229/j.cnki.jdxbgxb201602044

吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 632-638.doi: 10.13229/j.cnki.jdxbgxb201602044

时变遗忘因子动态DOA跟踪算法

单泽彪^{1, 2}, 石要武^{1, 2}, 刘小松¹, 李新波¹

1.吉林大学通信工程学院,长春 130022;
2.吉林大学工程仿生教育部重点实验室,长春 130022

收稿日期:2014-12-30 出版日期:2016-02-20 发布日期:2016-02-20
通讯作者: 李新波(1980-),男,讲师,博士.研究方向:阵列信号处理.E-mail:cinple@126.com E-mail:zbshan@126.com
作者简介:单泽彪(1986-),男,博士研究生.研究方向:阵列信号处理,DOA跟踪.E-mail:zbshan@126.com
基金资助:
国家自然科学基金项目(51075175,61571462); 吉林省青年科研基金项目(20140520064JH)

DOA tracking algorithm of moving target with variable forgetting factor

SHAN Ze-biao^{1, 2}, SHI Yao-wu^{1, 2}, LIU Xiao-song¹, LI Xin-bo¹

1.College of Communication Engineering, Jilin University, Changchun 130022, China;
2.Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China

Received:2014-12-30 Online:2016-02-20 Published:2016-02-20

摘要/Abstract

摘要： 针对目标信号源波达方向(DOA)实时变化的情况,提出了一种时变遗忘因子的自适应样本协方差矩阵更新方法.时变遗忘因子根据DOA变化的快慢自适应调节自身的大小,从而合理地调整历史数据及当前采样数据在协方差矩阵更新过程中所占的权重.在更新协方差矩阵后,对其直接应用最大似然估计方法,并将序列二次规划(SQP)应用于似然函数的优化求解上,最终实现了DOA的动态跟踪.仿真结果表明:该算法具有解相干的能力和良好的跟踪精度,并且在小样本,低信噪比下仍能达到比较满意的跟踪效果.

关键词: 信息处理技术, DOA跟踪, 时变遗忘因子, 序列二次规划, 最大似然估计

Abstract: To track the Direction of Arrival (DOA) of the moving targets quickly and accurately, an adaptive subspace updating algorithm with a variable forgetting factor is proposed. First, this tracking algorithm adaptively adjusts the weights of current and historical data in a covariance matrix according to the DOA change speed. Then the maximum likelihood estimation algorithm is used and the Sequence Quadratic Program (SQP) is applied to optimize the likelihood function in order to reduce the computation cost of the algorithm. Experimental results show that the proposed DOA tracking algorithm has the ability to track coherent sources and obtain acceptable tracking results even under the condition of low SNR and small snapshot number in comparison with other methods.

Key words: information processing, DOA tracking, variable forgetting factor, sequence quadratic program(SQP), maximun likelihood estimation

中图分类号:

TN911

单泽彪, 石要武, 刘小松, 李新波. 时变遗忘因子动态DOA跟踪算法[J]. 吉林大学学报(工学版), 2016, 46(2): 632-638.

SHAN Ze-biao, SHI Yao-wu, LIU Xiao-song, LI Xin-bo. DOA tracking algorithm of moving target with variable forgetting factor[J]. 吉林大学学报(工学版), 2016, 46(2): 632-638.

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时变遗忘因子动态DOA跟踪算法

DOA tracking algorithm of moving target with variable forgetting factor

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