Slow-moving Target Detection Method with FDA-MIMO Radar Based on Doppler-spreading Effect

It is difficult to distinguish the Doppler frequency between clutter and slow-moving targets when airborne radar is looking down, which makes it difficult to perform detection. To solve this problem, an frequency diverse array multiple-input multiple-output (FDA-MIMO) radar slow-moving target detection method Doppler-spreading (DS) effect is proposed in this paper. FDA-MIMO radar clutter and ground moving target signal models are established. Using DS effect, clutter and slow-moving targets are separated in the Doppler domain, and then clutter suppression and target detection are effective. Simulation results confirm the efficacy of the proposed method.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10869023
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Slow-moving Target Detection Method with FDA-MIMO Radar Based on Doppler-spreading Effect

Shunsheng Zhang, Libing Huang, Ding Wang
Radar Systems and Signal Processing
article

Slow-moving Target Detection Method with FDA-MIMO Radar Based on Doppler-spreading Effect

Shunsheng Zhang, Libing Huang, Ding Wang
article en

Abstract

It is difficult to distinguish the Doppler frequency between clutter and slow-moving targets when airborne radar is looking down, which makes it difficult to perform detection. To solve this problem, an frequency diverse array multiple-input multiple-output (FDA-MIMO) radar slow-moving target detection method Doppler-spreading (DS) effect is proposed in this paper. FDA-MIMO radar clutter and ground moving target signal models are established. Using DS effect, clutter and slow-moving targets are separated in the Doppler domain, and then clutter suppression and target detection are effective. Simulation results confirm the efficacy of the proposed method.

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