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基于索引調制OFDM雷達通信共享信號壓縮感知方法研究

左家駿,  楊瑞娟,  李曉柏,  李東瑾

左家駿, 楊瑞娟, 李曉柏, 李東瑾. 基于索引調制OFDM雷達通信共享信號壓縮感知方法研究[J]. 電子與信息學報, 2020, 42(12): 2976-2983. doi: 10.11999/JEIT190740
引用本文: 左家駿, 楊瑞娟, 李曉柏, 李東瑾. 基于索引調制OFDM雷達通信共享信號壓縮感知方法研究[J]. 電子與信息學報, 2020, 42(12): 2976-2983. doi: 10.11999/JEIT190740
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

基于索引調制OFDM雷達通信共享信號壓縮感知方法研究

doi: 10.11999/JEIT190740

  • 空軍預警學院預警情報系 武漢 430019

基金項目: 國家自然科學基金(61271451)
詳細信息
    作者簡介:

    左家駿：男，1990年生，博士，研究方向為雷達信號處理與雷達通信一體化

    楊瑞娟：女，1964年生，教授，博士生導師，主要研究方向為通信信號處理

    李曉柏：男，1983年生，博士，研究方向為現代通信技術、數字信號處理、雷達通信一體化

    李東瑾：男，1992年生，博士，研究方向為一體化系統(tǒng)智能應用

    通訊作者:

    左家駿　zuojiajun59@126.com

  • 中圖分類號: TN95

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

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

Funds: The National Natural Science Foundation of China (61271451)
  • 摘要: 針對在雷達通信一體化(RadCom)系統(tǒng)中正交頻分復用(OFDM)共享信號通信速率不高、可靠性較差的問題，該文提出一種采用子載波索引調制(IM)的OFDM共享信號方案(OFDM-IM)以及對應的基于壓縮感知(CS)的雷達信號處理算法。該方案在發(fā)射端采用IM調制增強OFDM信號通信質量，在雷達接收端采用CS技術獲取目標的距離-速度2維超分辨圖像，進一步采用快速分段重構、2次相參積累的方法降低算法的計算復雜度。仿真實驗表明，相比于傳統(tǒng)算法，該方法能顯著提升對OFDM-IM共享信號的處理性能，并實現超低距離副瓣，是一種能夠同時增強雷達與通信性能的一體化共享信號方案。
    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.
    • HTML全文

  • 圖  1  OFDM-IM信號產生示意圖

    圖  2  OFDM-IM信號幅度譜(N=512, Ns=8, Ks=4)

    圖  3  OFDM-IM信號誤比特率

    圖  4  MSD-CS算法信號處理流程圖

    圖  5  單脈沖距離像

    圖  6  不同信噪比下MSD和MSD-CS算法仿真結果

    圖  7  不同子脈沖數條件下PSL和TBR隨信噪比變化曲線(Ns=8, Ks=4)

    圖  8  不同有效載波數條件下PSL和TBR隨信噪比變化曲線(P=8)

    圖  9  運行時間隨分段數變化曲線

    表  1  OFDM信號參數

    信號參數取值
    載波頻率2.4 GHz
    信號帶寬20 MHz
    脈沖寬度26.8 μs
    OFDM數據段長度25.6 μs
    循環(huán)前綴長度1.2 μs
    子載波數512
    相參積累的脈沖數64
    下載: 導出CSV
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  • 被引次數: 0
出版歷程
  • 收稿日期:  2019-09-25
  • 修回日期:  2020-10-20
  • 網絡出版日期:  2020-10-23
  • 刊出日期:  2020-12-08

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