High-Resolution Detection of Moving Targets Using Stepped-Frequency Signal for mmWave FMCW Radar

In this paper, we propose a method to perform high-precision velocity measurement and high-resolution range measurement for stepped-frequency millimeter wave (mmWave) radar. To this end, a novel algorithm is developed to iteratively compensate the quadratic phase and measure velocity, while achieving high target peak power to ensure detection performance. Then, motion compensation and inverse fast Fourier transform (IFFT) are performed separately for each chirp signal to obtain high-resolution range measurement results in the slow-time dimension. Finally, numerical simulations demonstrate effectiveness of the proposed method in terms of velocity and range measurements, respectively.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868549
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

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article

High-Resolution Detection of Moving Targets Using Stepped-Frequency Signal for mmWave FMCW Radar

Xianxiang Yu, Wenqiang Wei, Yuan Gao, Guolong Cui
Radar Systems and Signal Processing
article

High-Resolution Detection of Moving Targets Using Stepped-Frequency Signal for mmWave FMCW Radar

Xianxiang Yu, Wenqiang Wei, Yuan Gao, Guolong Cui
article en

Abstract

In this paper, we propose a method to perform high-precision velocity measurement and high-resolution range measurement for stepped-frequency millimeter wave (mmWave) radar. To this end, a novel algorithm is developed to iteratively compensate the quadratic phase and measure velocity, while achieving high target peak power to ensure detection performance. Then, motion compensation and inverse fast Fourier transform (IFFT) are performed separately for each chirp signal to obtain high-resolution range measurement results in the slow-time dimension. Finally, numerical simulations demonstrate effectiveness of the proposed method in terms of velocity and range measurements, respectively.

University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 55%
Radar Systems and Signal Processing
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