陈小龙1,
张涛1, 2,,,
张财生1
1.海军航空大学 烟台 264001
2.92337部队 大连 116023
基金项目:国家自然科学基金(U1933135, 61871391, 61931021)；山东省重点研发计划(2019GSF111004)
详细信息
作者简介:张海：男，1976年生，副教授，研究方向为雷达信号处理、雷达目标特性等
陈小龙：男，1985年生，副教授，研究方向为雷达动目标检测、海杂波抑制、雷达信号精细化处理等
张涛：男，1986年生，工程师，研究方向为ADS-B系统设计及信号处理等
张财生：男，1983年生，讲师，研究方向为雷达信号处理、ADS-B信号处理等
通讯作者:张涛 radarads@sina.com
中图分类号:TN958.96; V19计量
文章访问数:3337
HTML全文浏览量:774
PDF下载量:72
被引次数:0
出版历程
收稿日期:2019-11-01
修回日期:2020-03-20
网络出版日期:2020-04-10
刊出日期:2020-12-08
Overlapping Secondary Surveillance Radar Replies Separation Algorithm Based on MUSIC
Hai ZHANG1,Xiaolong CHEN1,
Tao ZHANG1, 2,,,
Caisheng ZHANG1
1. Naval Aviation University, Yantai 264001, China
2. 92337 Troop, Dalian 116023, China
Funds:The National Nature Science Foundation of China (U1933135, 61871391, 61931021), The Key Research and Development Program of Shandong Province (2019GSF111004)
摘要
摘要:为了提高在高密度信号环境下对二次监视雷达(SSR)应答信号的接收性能，该文提出一种将信源数估计和信号到达方向(DOA)估计相结合构建分离矩阵实现交叠信号分离的算法。首先根据交叠信号量测的特征值分布来确定交叠信号的个数；然后利用MUSIC算法作谱峰搜索得到各信号的DOA，并重构混合矩阵；最后通过计算混合矩阵的广义逆得到分离矩阵，并实现对交叠信号的分离。以6阵元均匀线阵为前提进行仿真分析，结果表明所提分离算法可达到90%以上的分离成功率，分离性能和独立成分分析(ICA)算法相当，优于基于投影技术分离算法(PA)，但计算量远小于ICA算法，不足ICA算法计算量1/10，更易于工程化应用。
关键词:交叠信号分离/
阵列天线/
SSR应答信号/
MUSIC算法/
混合矩阵重构
Abstract:In order to improve the reception performance of Secondary Surveillance Radar (SSR) replies in high-density signal environment, a separation algorithm is proposed, which constructs the separating matrix with estimating the source number and the Direction Of Arrival (DOA) of signal. Firstly, the number of overlapping signals is determined with the eigenvalues distribution of the measurements. Secondly, the mixing matrix with the DOA of signals, which is estimated by peak value searching in MUSIC algorithm. Finally, the separating matrix is estimated by calculating the Moore-Penrose inverse of the reconstructed mixing matrix, achieving separation of overlapping signals. Simulation is done based on uniform linear array with 6 elements. The results show that the proposed separation algorithm can achieve more than 90% success rate to separate two short Mode S replies, and the separating performance is similar to the Independent Component Analysis (ICA) algorithm and is better than Projection Algorithm (PA). The amount of calculation is less than 10 percent of ICA algorithm, thus the proposed separation algorithm is easier to engineering application.
Key words:Overlapping signal Separation/
Array antenna/
Secondary Surveillance Radar (SSR) replies/
MUSIC algorithm/
Mixing matrix reconstruction
PDF全文下载地址:
https://jeit.ac.cn/article/exportPdf?id=f42d82b4-ae2e-4ea7-9c70-9909e6b1b1ce
