基于FBMC信号的低截获雷达通信一体化波形设计

李琬璐 相征 任鹏

李琬璐, 相征, 任鹏. 基于FBMC信号的低截获雷达通信一体化波形设计[J]. 雷达学报, 待出版. doi: 10.12000/JR22064
引用本文: 李琬璐, 相征, 任鹏. 基于FBMC信号的低截获雷达通信一体化波形设计[J]. 雷达学报, 待出版. doi: 10.12000/JR22064
LI Wanlu, XIANG Zheng, and REN Peng. Filter bank multi-carrier waveform design for low probability of intercepting joint radar and communication system[J]. Journal of Radars, in press. doi: 10.12000/JR22064
Citation: LI Wanlu, XIANG Zheng, and REN Peng. Filter bank multi-carrier waveform design for low probability of intercepting joint radar and communication system[J]. Journal of Radars, in press. doi: 10.12000/JR22064

基于FBMC信号的低截获雷达通信一体化波形设计

doi: 10.12000/JR22064
基金项目: 国家自然科学基金(61971320)
详细信息
    作者简介:

    李琬璐,博士研究生,主要研究方向为雷达通信一体化的系统设计和信号处理

    相 征,博士,教授,主要研究方向为研究方向为感知通信一体化、自组织网络与空天地一体化

    任 鹏,副教授,主要研究方向为感知通信一体化、信道编码、数据链

    通讯作者:

    任鹏 rp1816@126.com

  • 责任主编:原进宏 Corresponding Editor: YUAN Jinhong
  • 中图分类号: TN957

Filter Bank Multi-Carrier Waveform Design for Low Probability of Intercepting Joint Radar and Communication System

Funds: The National Natural Science Foundation of China (61971320)
More Information
  • 摘要: 针对正交频分复用(OFDM)雷达通信一体化波形方案中循环前缀引起的弱回波掩盖问题和敌方战场低截获概率问题,该文提出了基于滤波器组的多载波偏移正交幅度调制(FBMC-OQAM)的低截获雷达通信一体化波形设计方案。分别构建FBMC雷达通信一体化波形与目标检测概率、通信信道容量之间的数学模型,在保证一定系统雷达与通信性能的条件约束下,设计最小化系统总发射功率联合优化问题,优化各个子载波发射功率分配方案。该算法利用测量值和信道状态信息,对下一个脉冲的发射波形参数进行优化设计,实现自适应传输。此外,从平均模糊函数角度分析了FBMC作为雷达信号的可行性和优势。仿真结果表明,与等功率分配方案相比,该文提出的功率分配方案可有效降低一体化系统总发射功率,从而实现低截获性能,并且FBMC波形可有效降低循环前缀引起的距离旁瓣,提高雷达分辨率与信息速率。

     

  • 图  1  FBMC-OQAM信号模型

    Figure  1.  FBMC-OQAM signal model

    图  2  检测概率随非中心参数变化情况

    Figure  2.  Radar detection probability versus non-central parameter

    图  3  OFDM模糊函数、零多普勒图及其零时延图

    Figure  3.  AAF of OFDM waveform and its zero-Doppler and zero-delay cut

    图  4  CP-OFDM模糊函数、零多普勒图及其零时延图

    Figure  4.  AAF of CP-OFDM waveform and its zero-Doppler and zero-delay cut

    图  5  FBMC-OQAM模糊函数、零多普勒图及其零时延图

    Figure  5.  AAF of FBMC-OQAM waveform and its zero-Doppler and zero-delay cut

    图  6  场景1中发射总功率随检测概率变化情况

    Figure  6.  Total power versus probability of detection in scenario I

    图  7  场景2中发射总功率随检测概率变化情况

    Figure  7.  Total power versus probability of detection in scenario II

    图  8  不同方案发射总功率随检测概率变化情况

    Figure  8.  Total power versus probability of detection in different scheme

    图  9  不同方案发射总功率随信道容量变化情况

    Figure  9.  Total power versus channel capacity in different scheme

    表  1  多载波波形仿真参数设置

    Table  1.   Multi-Carrier waveform parameters setting

    波形符号
    周期
    子载
    波数
    CP
    长度
    符号
    调制
    方式
    滤波器
    OFDM1.65 μs640416QAM矩形窗
    CP-OFDM2.07 μs800.42 μs416QAM矩形窗
    FBMC-OQAM0.83 μs640416QAMPHDYAS K=4
    下载: 导出CSV

    表  2  PHDYAS滤波器系数

    Table  2.   PHDYAS filter coefficients

    参数数值参数数值
    K4${H_1}$0.971960
    ${H_0}$1${H_2}$$\sqrt 2 /2$
    ${H_3}$0.235147
    下载: 导出CSV

    表  3  参数${\boldsymbol{\lambda }}$${\boldsymbol{\eta }}$仿真参数设置

    Table  3.   ${\boldsymbol{\lambda }}$ and ${\boldsymbol{\eta }}$ parameters setting

    参数子信道1子信道2子信道3子信道4
    场景1$ {\boldsymbol{\lambda }} $–0.1369–0.0619i0.3611+0.2125i0.0075–0.0921i0.2667–0.2076i
    场景1${\boldsymbol{\eta }}$–0.046+0.1705i0.0304+0.1136i0.0609+0.2273i0.1218–0.4546i
    场景2$ {\boldsymbol{\lambda }} $0.6288–0.1170i0.1064+0.0408i0.0617+0.0590i0.0449+0.1549i
    场景2${\boldsymbol{\eta }}$0.5520+0.1479i0.0370–0.1380i0.2070+0.0055i0.0018–0.0690i
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-04-02
  • 修回日期:  2022-06-12
  • 网络出版日期:  2022-07-06

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