杨瑞娟,
李晓柏,
李东瑾
空军预警学院预警情报系 武汉 430019
基金项目:国家自然科学基金(61271451)
详细信息
作者简介:左家骏：男，1990年生，博士，研究方向为雷达信号处理与雷达通信一体化
杨瑞娟：女，1964年生，教授，博士生导师，主要研究方向为通信信号处理
李晓柏：男，1983年生，博士，研究方向为现代通信技术、数字信号处理、雷达通信一体化
李东瑾：男，1992年生，博士，研究方向为一体化系统智能应用
通讯作者:左家骏 zuojiajun59@126.com
中图分类号:TN95计量
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被引次数:0
出版历程
收稿日期:2019-09-25
修回日期:2020-10-20
网络出版日期:2020-10-23
刊出日期:2020-12-08
A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal
Jiajun ZUO,,Ruijuan YANG,
Xiaobai LI,
Dongjin LI
Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan 430019, China
Funds:The National Natural Science Foundation of China (61271451)
摘要
摘要:针对在雷达通信一体化(RadCom)系统中正交频分复用(OFDM)共享信号通信速率不高、可靠性较差的问题，该文提出一种采用子载波索引调制(IM)的OFDM共享信号方案(OFDM-IM)以及对应的基于压缩感知(CS)的雷达信号处理算法。该方案在发射端采用IM调制增强OFDM信号通信质量，在雷达接收端采用CS技术获取目标的距离-速度2维超分辨图像，进一步采用快速分段重构、2次相参积累的方法降低算法的计算复杂度。仿真实验表明，相比于传统算法，该方法能显著提升对OFDM-IM共享信号的处理性能，并实现超低距离副瓣，是一种能够同时增强雷达与通信性能的一体化共享信号方案。
关键词:雷达通信一体化/
正交频分复用/
子载波索引调制/
压缩感知
Abstract:Considering the problems of low communication rate and poor reliability of Orthogonal Frequency Division Multiplexing (OFDM) signals in joint Radar and Communication (RadCom) system, a subcarrier Index Modulation (IM) based OFDM RadCom signal scheme (OFDM-IM) and a corresponding radar signal processing algorithm based on Compressed Sensing (CS) are proposed in this paper. In the scheme, IM modulation is adopted at the transmitting end to enhance the communication quality of OFDM signal, CS technology is adopted at the radar receiving end to obtain the range-velocity 2-D super resolution image of radar targets, and the method of rapid piecewise reconstruction and second phase-coherent accumulation are further adopted to reduce the computational complexity of the algorithm. Simulation results show that, compared with the traditional algorithm, this method can significantly improve the processing performance of OFDM-IM RadCom signal and realize ultra-low side lobe in distance, which means the proposed scheme is able to enhance the performance of radar and communication in the same time.
Key words:Radar and Communication (RadCom)/
Orthogonal Frequency Division Multiplexing (OFDM)/
Subcarrier Index Modulation (IM)/
Compressed Sensing (CS)
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