Multi-target matching algorithm based on composite FMCW waveform

doi:10.7523/j.ucas.2021.0067

Journal of University of Chinese Academy of Sciences ›› 2022, Vol. 39 ›› Issue (1): 110-118.DOI: 10.7523/j.ucas.2021.0067

• Research Articles • Previous Articles

Multi-target matching algorithm based on composite FMCW waveform

SONG Wenhao^1,2, ZHOU Bin¹, BU Zhiyong¹, ZHOU Zhigang³

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:2021-02-03 Revised:2021-05-11

Abstract

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.

Key words: millimeter-wave radar, frequency modulated continuous wave, multi-target detection

CLC Number:

TN958.94

SONG Wenhao, ZHOU Bin, BU Zhiyong, ZHOU Zhigang. Multi-target matching algorithm based on composite FMCW waveform[J]. Journal of University of Chinese Academy of Sciences, 2022, 39(1): 110-118.

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Multi-target matching algorithm based on composite FMCW waveform

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