A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal

Jiajun ZUO; Ruijuan YANG; Xiaobai LI; Dongjin LI

doi:10.11999/JEIT190740

Volume 42 Issue 12

Dec. 2020

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2020 > 42(12): 2976-2983

Jiajun ZUO, Ruijuan YANG, Xiaobai LI, Dongjin LI. A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2976-2983. doi: 10.11999/JEIT190740

Citation:

Jiajun ZUO, Ruijuan YANG, Xiaobai LI, Dongjin LI. A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal[J]. Journal of Electronics & Information Technology, 2020, 42(12): 2976-2983. doi: 10.11999/JEIT190740

Citation:

PDF( 2669 KB)

A Compressed Sensing Method for Joint Radar and Communication System Based on OFDM-IM Signal

doi: 10.11999/JEIT190740

Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan 430019, China

Funds: The National Natural Science Foundation of China (61271451)

Received Date: 2019-09-25
Rev Recd Date: 2020-10-20

Available Online: 2020-10-23

Publish Date: 2020-12-08

Abstract

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.

FullText(HTML)

References(17)

References

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/JEIT180547

LIU 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/JEIT150320

LIU 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/JEIT180515

XIAO 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.

Relative Articles

Supplements(0)

Cited By

Proportional views