Range and Tangential Velocity Joint Estimation Method using Interferometer Radar

Interferometric radar can provide complete two-dimensional velocity information of any moving object regardless of its trajectory. Although current technology can jointly detect the angle and angular velocity of the target, the ability to distinguish the tangential velocity of multiple targets is still insufficient. To address this challenge, this paper proposes a moving target detection method that jointly measures distance and tangential velocity. Firstly, the post-interferometric algorithm is utilized to enhance the signal-to-noise ratio and suppress cross-terms. Then, a joint detection algorithm for distance and tangential velocity is proposed. Finally, a two-dimensional joint estimation of distance and tangential velocity for moving targets is achieved. Simulation results show that this method has a low root mean square error, demonstrating its feasibility.

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Publication Details

Published
2025-05-23
DOI
https://doi.org/10.1109/ecis65594.2025.11086804
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Range and Tangential Velocity Joint Estimation Method using Interferometer Radar

Ningbo Xie, Qinlin Li, Mengyao Jing, Xiaozhong Liao et al.
Structural Health Monitoring Techniques
article

Range and Tangential Velocity Joint Estimation Method using Interferometer Radar

Ningbo Xie, Qinlin Li, Mengyao Jing, Xiaozhong Liao, Kefei Liao
article en

Abstract

Interferometric radar can provide complete two-dimensional velocity information of any moving object regardless of its trajectory. Although current technology can jointly detect the angle and angular velocity of the target, the ability to distinguish the tangential velocity of multiple targets is still insufficient. To address this challenge, this paper proposes a moving target detection method that jointly measures distance and tangential velocity. Firstly, the post-interferometric algorithm is utilized to enhance the signal-to-noise ratio and suppress cross-terms. Then, a joint detection algorithm for distance and tangential velocity is proposed. Finally, a two-dimensional joint estimation of distance and tangential velocity for moving targets is achieved. Simulation results show that this method has a low root mean square error, demonstrating its feasibility.

Guilin University of Electronic Technology (CN)
Technology Development
Affordable and clean energy
Openalex Percentile: Top 79%
Structural Health Monitoring Techniques
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