Integrated Radar and Communications Waveform Design Based on Multi-Symbol OFDM

被引:10
|
作者
Rong, Juan [1 ,2 ]
Liu, Feifeng [2 ,3 ]
Miao, Yingjie [2 ,3 ]
机构
[1] Beijing Inst Technol, Sch Math & Stat, Beijing 100081, Peoples R China
[2] Minist Educ, Key Lab Elect & Informat Technol Satellite Nav, Beijing 100081, Peoples R China
[3] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
integrated radar and communications; orthogonal frequency division multiplexing; peak-to-mean envelope power ratio; peak-to-sidelobe ratio; conjugate gradient; JOINT RADAR; PAPR REDUCTION; SIGNAL; CONVERGENCE; PERFORMANCE; ALGORITHM; PMEPR;
D O I
10.3390/rs14194705
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Integrated radar and communications (IRC) technology has become very important for civil and military applications in recent years, and IRC waveform design is a major challenge for IRC development. In this paper, we focus on the IRC waveform design based on the multi-symbol orthogonal frequency division multiplexing (OFDM) technique. In view of the defects resulting from high peak-to-mean envelope power ratios (PMEPRs) and high range sidelobes in IRC systems, an intelligent and effective IRC waveform design method jointly optimized with the PMEPR and peak-to-sidelobe ratio (PSLR) is proposed. Firstly, a flexible tone reservation (TR)-based IRC waveform structure is applied in both temporal and frequency domains, i.e., multi-symbol OFDM waveform. Secondly, the optimization problem considering PMEPR and PSLR and extending them to the L-p-norm form is reformulated. Then, the conjugate gradient of the objective function is analytically derived and the conjugate gradient algorithm (CGA) is presented to simultaneously improve the PMEPR and PSLR. Finally, the simulation results show that the proposed algorithm can efficiently generate IRC waveforms with an excellent PMEPR, PSLR, radar signal-to-noise ratio (SNR), and bit error rate (BER) performance.
引用
收藏
页数:22
相关论文
共 50 条
  • [21] OFDM Waveform Design Parameter for Submarine Radar
    Kuswidiastuti, D.
    Handayani, P.
    Hendrantoro, G.
    Widjiati, E.
    Ligthart, L. P.
    2015 IEEE INTERNATIONAL CONFERENCE ON AEROSPACE ELECTRONICS AND REMOTE SENSING TECHNOLOGY (ICARES), 2015,
  • [22] OFDM Waveform Design Parameter for Submarine Radar
    Kuswidiastuti, D.
    Handayani, P.
    Hendrantoro, G.
    Widjiati, E.
    Ligthart, L. P.
    2015 IEEE INTERNATIONAL CONFERENCE ON SPACE OPTICAL SYSTEMS AND APPLICATIONS (ICSOS), 2015,
  • [23] Coherent and multi-symbol noncoherent CPFSK: Capacity and code design
    Cheng, Shi
    Valenti, Matthew C.
    Torrieri, Don
    2007 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-8, 2007, : 2903 - +
  • [24] Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications
    Keskin, Musa Furkan
    Tigrek, R. Firat
    Aydogdu, Canan
    Lampel, Franz
    Wymeersch, Henk
    Alvarado, Alex
    Willems, Frans M. J.
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021,
  • [25] Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications
    Keskin, Musa Furkan
    Tigrek, R. Firat
    Aydogdu, Canan
    Lampel, Franz
    Wymeersch, Henk
    Alvarado, Alex
    Willems, Frans M. J.
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021, : 1 - 4
  • [26] Peak Sidelobe Level Based Waveform Optimization for OFDM Joint Radar-Communications
    Keskin, Musa Furkan
    Tigrek, R. Firat
    Aydogdu, Canan
    Lampel, Franz
    Wymeersch, Henk
    Alvarado, Alex
    Willems, Frans M. J.
    EURAD 2020 THE 17TH EUROPEAN RADAR CONFERENCE, 2021,
  • [27] OFDM waveform design based on mutual information for cognitive radar applications
    Karimi, Vahid
    Mohseni, Reza
    Samadi, Sadegh
    JOURNAL OF SUPERCOMPUTING, 2019, 75 (05): : 2518 - 2534
  • [28] Communicational Radar Detection Waveform Design Based on OFDM-LFM
    Liu, Chang
    Wang, Zhiteng
    Jiang, Han
    Ji, Cunxiao
    2022 CROSS STRAIT RADIO SCIENCE & WIRELESS TECHNOLOGY CONFERENCE, CSRSWTC, 2022,
  • [29] OFDM waveform design based on mutual information for cognitive radar applications
    Vahid Karimi
    Reza Mohseni
    Sadegh Samadi
    The Journal of Supercomputing, 2019, 75 : 2518 - 2534
  • [30] Waveform design for radar-embedded communications
    Blunt, Shannon D.
    Yantham, Padmaja
    2007 INTERNATIONAL WAVEFORM DIVERSITY & DESIGN CONFERENCE, 2007, : 214 - 218