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电子信息与计算机科学

基于复合型FMCW波形的多目标匹配算法

  • 宋文豪 ,
  • 周斌 ,
  • 卜智勇 ,
  • 周志刚
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  • 1. 中国科学院上海微系统与信息技术研究所 中国科学院无线传感网与通信重点实验室, 上海;
    2. 中国科学院大学, 北京 100049;
    3. 杭州电子科技大学电子信息学院, 杭州 310018

收稿日期: 2021-02-03

  修回日期: 2021-05-11

  网络出版日期: 2021-05-11

基金资助

上海市自然科学基金(19ZR1467200)和国家重点研发计划(2020YFB0905900)资助

Multi-target matching algorithm based on composite FMCW waveform

  • SONG Wenhao ,
  • ZHOU Bin ,
  • BU Zhiyong ,
  • ZHOU Zhigang
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  • 1. Key Laboratory of Wireless Sensor Networks and Communications of CAS, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. School of Electronics and Information Engineering, Hangzhou Dianzi University, Hangzhou 310018, China

Received date: 2021-02-03

  Revised date: 2021-05-11

  Online published: 2021-05-11

摘要

毫米波雷达常用调频连续波(frequency modulated continuous wave,FMCW)来测量目标的距离、速度等物理参数,但基于三角波调频连续波的雷达难以准确地完成多目标探测。因此,提出一种改进的FMCW波形及其对应的多目标匹配算法,这个复合型波形结合梯形波和快速锯齿波的特性,可以更准确地完成多目标的探测。仿真结果验证了该方法能准确剔除虚假目标,保留真实目标。

本文引用格式

宋文豪 , 周斌 , 卜智勇 , 周志刚 . 基于复合型FMCW波形的多目标匹配算法[J]. 中国科学院大学学报, 2022 , 39(1) : 110 -118 . DOI: 10.7523/j.ucas.2021.0067

Abstract

Millimeter-wave radar usually uses frequency modulated continuous wave(FMCW) to measure physical parameters such as distance and velocity of targets, but triangular waveform radar is difficult to accurately accomplish multi-target detection. As a result, an improved FMCW waveform and its corresponding multi-target matching algorithm are proposed in this paper, this composite waveform combines the characteristics of trapezoidal waveform and fast sawtooth waveform, through which multi-target detection can be finished more accurately. The simulation results verify that the method can accurately reject ghost targets and retain real targets.

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