Design of integrated radar and communication system based on MIMO-OFDM waveform

被引:33
|
作者
Liu, Yongjun [1 ]
Liao, Guisheng [1 ]
Yang, Zhiwei [1 ]
Xu, Jingwei [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
integrated radar and communication; orthogonal frequency; division multiplexing (OFDM); multiple input multiple output (MIMO); system parameter design; SIGNAL;
D O I
10.21629/JSEE.2017.04.06
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Orthogonal frequency division multiplexing (OFDM) waveform enables radar and communication functions simultaneously, which encounters low angle resolution and poor data rate for traditional single input single output (SISO) systems. To solve these problems, an integrated radar and communication system (IRCS) with multiple input multiple output (MIMO) OFDM waveform is proposed. The different limitations of radar and communication in designing such a system are investigated. Then, an optimization problem is devised to obtain suitable system parameters, including the number of subcarriers, subcarrier spacing, number of symbols, pulse repetition frequency (PRF) and length of cyclic prefix (CP). Finally, to satisfy the requirements of both radar and communication, the IRCS parameters are derived in three typical cases. Several numerical results are presented to illustrate the demands of radar and communication, inconsistent or consistent, for the IRCS parameters and the superiority of the proposed system.
引用
收藏
页码:669 / 680
页数:12
相关论文
共 50 条
  • [21] Signal Equalization in MIMO-OFDM Based Sensor Network System
    Singh, Gurmukh
    Saini, Hardeep Singh
    Singh, Gagandeep
    Mahajan, Leena
    Kumar, Rajesh
    AMBIENT COMMUNICATIONS AND COMPUTER SYSTEMS, RACCCS 2017, 2018, 696 : 131 - 141
  • [22] Random Multiplexing for an MIMO-OFDM Radar With Compressed Sensing-Based Reconstruction
    Knill, Christina
    Roos, Fabian
    Schweizer, Benedikt
    Schindler, Daniel
    Waldschmidt, Christian
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2019, 29 (04) : 300 - 302
  • [23] BCH-LDPC coded MIMO-OFDM underwater acoustic communication system
    Zhao, D.-F. (zhaodanfeng@hrbeu.edu.cn), 1600, Editorial Board of Jilin University (44): : 1171 - 1176
  • [24] Communication-Aware Waveform Design for MIMO Radar With Good Transmit Beampattern
    Cheng, Ziyang
    Han, Chunlin
    Liao, Bin
    Hen, Zishu
    Li, Jun
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2018, 66 (21) : 5549 - 5562
  • [25] Waveform design and imaging method research for integrated wide-band radar and communication system
    Lou H.
    Zhang Q.
    Luo Y.
    Li H.-W.
    Gu F.-F.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2016, 38 (09): : 2019 - 2027
  • [26] 16QAM-LFM waveform design for integrated radar and communication
    Zeng H.
    Ji L.
    Li F.
    Li C.
    Tongxin Xuebao/Journal on Communications, 2020, 41 (03): : 182 - 189
  • [27] Keyhole Estimation of an MIMO-OFDM Train-to-Wayside Communication System on Subway Tunnels
    Moreno, Juan
    de Haro, Leandro
    Rodriguez, Carlos
    Cuellar, Luis
    Manuel Riera, Jose
    IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS, 2015, 14 : 88 - 91
  • [28] Study and Comparision of "MIMO-OFDM" Under Acoustic Communication Systems
    Ganesh, S. Sankar
    Rajaprakash, S.
    PROCEEDINGS OF SECOND INTERNATIONAL CONFERENCE ON SUSTAINABLE EXPERT SYSTEMS (ICSES 2021), 2022, 351 : 755 - 761
  • [29] An Adaptive Waveform Design Method for OFDM Cognitive Radar
    Huo, Kai
    Qiu, Zhaokun
    Liu, Yongxiang
    Jiang, Weidong
    2014 INTERNATIONAL RADAR CONFERENCE (RADAR), 2014,
  • [30] Information theoretic waveform design for OFDM radar-communication coexistence in Gaussian mixture interference
    Du, Zhen
    Zhang, Zenghui
    Yu, Wenxian
    IET RADAR SONAR AND NAVIGATION, 2019, 13 (11) : 2063 - 2070