A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal
-
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。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.
-
表 1 OFDM信号参数
信号参数 取值 载波频率 2.4 GHz 信号带宽 20 MHz 脉冲宽度 26.8 μs OFDM数据段长度 25.6 μs 循环前缀长度 1.2 μs 子载波数 512 相参积累的脉冲数 64 
下载: 导出CSV
-
NOWAK M, WICKS M, ZHANG Zhiping, et al. Co-designed radar-communication using linear frequency modulation waveform[J]. IEEE Aerospace and Electronic Systems Magazine, 2016, 31(10): 28–35. doi: 10.1109/MAES.2016.150236 ZHOU Yifan, ZHOU Huilin, ZHOU Fuhui, et al. Resource allocation for a wireless powered integrated radar and communication system[J]. IEEE Wireless Communications Letters, 2019, 8(1): 253–256. doi: 10.1109/LWC.2018.2868819 刘冰凡, 陈伯孝. 基于OFDM-LFM信号的MIMO雷达通信一体化信号共享设计研究[J]. 电子与信息学报, 2019, 41(4): 801–808. doi: 10.11999/JEIT180547LIU Bingfan and CHEN Baixiao. Integration of MIMO radar and communication with OFDM-LFM signals[J]. Journal of Electronics &Information Technology, 2019, 41(4): 801–808. doi: 10.11999/JEIT180547 LIU Yongjun, LIAO Guisheng, YANG Zhiwei, et al. Multiobjective optimal waveform design for OFDM integrated radar and communication systems[J]. Signal Processing, 2017, 141: 331–342. doi: 10.1016/j.sigpro.2017.06.026 LIU Yongjun, LIAO Guisheng, XU Jingwei, et al. Adaptive OFDM integrated radar and communications waveform design based on information theory[J]. IEEE Communications Letters, 2017, 21(10): 2174–2177. doi: 10.1109/LCOMM.2017.2723890 KONG Bo, WANG Yuhao, LEUNG H, et al. Sparse representation based range-Doppler processing for integrated OFDM radar-communication networks[J]. International Journal of Antennas and Propagation, 2017, 2017: 6528956. doi: 10.1155/2017/6528956 TIAN Xuanxuan, ZHANG Tingting, ZHANG Qinyu, et al. High accuracy doppler processing with low complexity in OFDM–based RadCom systems[J]. IEEE Communications Letters, 2017, 21(12): 2618–2621. doi: 10.1109/LCOMM.2017.2746563 刘永军, 廖桂生, 杨志伟, 等. 一种超分辨OFDM雷达通信一体化设计方法[J]. 电子与信息学报, 2016, 38(2): 425–433. doi: 10.11999/JEIT150320LIU Yongjun, LIAO Guisheng, YANG Zhiwei, et al. A Super-resolution design method for integration of OFDM radar and communication[J]. Journal of Electronics &Information Technology, 2016, 38(2): 425–433. doi: 10.11999/JEIT150320 TIGREK R F, DE HEIJ W J A, and VAN GENDEREN P. OFDM signals as the radar waveform to solve Doppler ambiguity[J]. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(1): 130–143. doi: 10.1109/taes.2012.6129625 STURM C and WIESBECK W. Waveform design and signal processing aspects for fusion of wireless communications and radar sensing[J]. Proceedings of the IEEE, 2011, 99(7): 1236–1259. doi: 10.1109/jproc.2011.2131110 肖博, 霍凯, 刘永祥. 雷达通信一体化研究现状与发展趋势[J]. 电子与信息学报, 2019, 41(3): 739–750. doi: 10.11999/JEIT180515XIAO Bo, HUO Kai, and LIU Yongxiang. Development and prospect of radar and communication integration[J]. Journal of Electronics &Information Technology, 2019, 41(3): 739–750. doi: 10.11999/JEIT180515 BAŞAR E, AYGÖLÜ Ü, PANAYIRCI E, et al. Orthogonal frequency division multiplexing with index modulation[J]. IEEE Transactions on Signal Processing, 2013, 61(22): 5536–5549. doi: 10.1109/tsp.2013.2279771 CHOI J. Coded OFDM-IM with transmit diversity[J]. IEEE Transactions on Communications, 2017, 65(7): 3164–3171. doi: 10.1109/TCOMM.2017.2699182 ABU-ALHIGA R and HAAS H. Subcarrier-index modulation OFDM[C]. The IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, Tokyo, Japan, 2009: 177–181. doi: 10.1109/PIMRC.2009.5449882. 张贤达. 矩阵分析与应用[M]. 2版. 北京: 清华大学出版社, 2013: 77–78.ZHANG Xianda. Matrix Analysis and Applications[M]. 2nd ed. Beijing: Tsinghua University Press, 2013: 77–78. TROPP J A and GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655–4666. doi: 10.1109/tit.2007.909108 张磊. 高分辨SAR/ISAR成像及误差补偿技术研究[D]. [博士论文], 西安电子科技大学, 2012: 36–37. doi: 10.7666/d.y2068190.ZHANG Lei. Study on high resolution SAR/ISAR imaging and error correction[D]. [Ph. D. dissertation], Xidian University, 2012: 36–37. doi: 10.7666/d.y2068190. -
图(9) / 表(1)
计量
- 文章访问数: 1401
- HTML全文浏览量: 637
- PDF下载量: 141
- 被引次数: 0
下载:
