杨力,,
钱杨
1.大连大学信息工程学院 大连 116622
2.大连大学通信与网络重点实验室 大连 116622
基金项目:国家自然科学基金(61671105, 61901080)
详细信息
作者简介:蔡睿妍：女，1979年生，副教授，研究方向为阵列信号处理、卫星通信
杨力：女，1982年生，教授，研究方向为空间信息网络传输技术、无线通信网络协议理论与方法
钱杨：男，1994年生，硕士生，研究方向为网络资源优化
通讯作者:杨力 yangli945@126.com
中图分类号:TN911.7计量
文章访问数:329
HTML全文浏览量:115
PDF下载量:44
被引次数:0
出版历程
收稿日期:2020-04-28
修回日期:2020-10-19
网络出版日期:2020-10-26
刊出日期:2020-11-16
A Novel DOA Estimation Method for Coherently Distributed Sources Based on Correntropy in the Impulsive Noise
Ruiyan CAI,Li YANG,,
Yang QIAN
1. College of Information Engineering, Dalian University, Dalian 116622, China
2. Key Laboratory of Communication and Network, Dalian University, Dalian 116622, China
Funds:The National Natural Science Foundation of China (61671105, 61901080)
摘要
摘要:针对复杂电磁环境下被动无线监测定位问题，该文提出广义相关熵的概念，推导了广义相关熵的性质，用以抑制阵列输出信号中的脉冲噪声。为了实现脉冲噪声环境下相干分布源中心DOA和扩散角的联合估计，提出基于广义相关熵的DOA估计新方法，并证明了该方法的有界性。为进一步提升算法的鲁棒性，推导了一种仅依赖阵列输出信号的自适应核函数。仿真结果表明，该算法能够实现脉冲噪声环境下相干分布源参数的联合估计，相比已有算法，具有更高的估计精度和鲁棒性。
关键词:分布源/
相关熵/
Alpha稳定分布/
DOA估计
Abstract:To solve the problem of passive wireless monitoring and positioning in complex electromagnetic environments, a generalized auto-correntropy for suppressing the impulsive noise in the array output signals is proposed and its properties are derived. To obtain the estimates of both central Direction Of Arrival (DOA) and angular spread for coherently distributed sources in the impulsive noise, a novel DOA estimation method based on the generalized auto-correntropy is proposed, and its boundedness is proved. To improve the robustness of the proposed algorithm, a new adaptive kernel function, which only depends on the array output signals, is also derived. The simulation results show that the proposed algorithm can obtain the joint estimation for coherently distributed sources under impulsive noise environments, and has higher estimation accuracy and robustness than existing algorithms.
Key words:distributed sources/
correntropy/
Alpha-stable distribution/
Direction Of Arrival (DOA) estimation
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https://jeit.ac.cn/article/exportPdf?id=3363392c-8ffd-4eb4-91ff-23c11b295c1c
