Moving Target Detection Algorithm for Millimeter Wave Radar Based on Keystone-2DFFT
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Published:2023-11-25
Issue:23
Volume:12
Page:4776
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ISSN:2079-9292
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Container-title:Electronics
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language:en
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Short-container-title:Electronics
Author:
Shen Wenjie1ORCID, Wang Sijie1, Wang Yanping1, Li Yang1, Lin Yun1ORCID, Zhou Ye2, Xu Xueyong2
Affiliation:
1. Radar Monitoring Technology Laboratory, North China University of Technology, Beijing 100144, China 2. North Information Control Research Academy Group Co., Ltd., Nanjing 211153, China
Abstract
Millimeter wave radar has the advantage of all-day and all-weather capability for detection, speed measurement. It plays an important role in urban traffic flow monitoring and traffic safety monitoring. The conventional 2-dimensional Fast Fourier Transform (2DFFT) algorithm is performed target detection in the range-Doppler domain. However, the target motion will induce the range walk phenomenon, which leads to a decrease in the target energy and the performance of the target detection and speed measurement. To solve the above problems, this paper proposes a moving vehicle detection algorithm based on Keystone-2DFFT for a traffic scene. Firstly, this paper constructs and analyzes the Frequency Modulated ContinuousWave (FMCW) moving target signal model under traffic monitoring scenario’s radar observation geometry. The traditional 2DFFT moving target detection algorithm is briefly introduced. Then, based on mentioned signal model, an improved moving vehicle detection algorithm based on Keystone-2DFFT transform is proposed. The method first input the echo, then the range walk is removed by keystone transformation. the keystone transformation is achieved via Sinc interpolation. Next is transform data into range-Doppler domain to perform detection and speed estimation. The algorithm is verified by simulation data and real data.
Funder
National Natural Science Foundation of China R&D Program of the Beijing Municipal Education Commission North China University of Technology Research
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering
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