Doppler Measurement-Based Positioning and Tracking Methods with External Radiation Radar

This paper introduces a new approach for addressing the complex problem of Multi-target tracking in external radiation radar systems equipped with Multi-static Doppler measurements. Drawing from research on sensor arrays and mobile sensors, the method utilizes the Generalized Labelled Multi-Bernoulli (GLMB) filter to navigate the intricacies of Multi-target tracking across sensor arrays. The study validates the effectiveness of the GLMB and the computationally efficient Gibbs-GLMB filters in a setup involving three transmitters and one receiver. Experimental results, assessed with the Optimal Sub-Pattern Assignment (OSPA) metric, suggest that the Gibbs-GLMB filter accelerates computation while potentially compromising on measurement precision, which could lead to reduced accuracy in specific cases. The investigation also examines the influence of sensor geometry on tracking results, indicating that there is an association between tracking performance and sensor arrangement.

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Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868865
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

Doppler Measurement-Based Positioning and Tracking Methods with External Radiation Radar

Zhengwang Tian, Weifeng Liu, Li He
Radar Systems and Signal Processing
article

Doppler Measurement-Based Positioning and Tracking Methods with External Radiation Radar

Zhengwang Tian, Weifeng Liu, Li He
article en

Abstract

This paper introduces a new approach for addressing the complex problem of Multi-target tracking in external radiation radar systems equipped with Multi-static Doppler measurements. Drawing from research on sensor arrays and mobile sensors, the method utilizes the Generalized Labelled Multi-Bernoulli (GLMB) filter to navigate the intricacies of Multi-target tracking across sensor arrays. The study validates the effectiveness of the GLMB and the computationally efficient Gibbs-GLMB filters in a setup involving three transmitters and one receiver. Experimental results, assessed with the Optimal Sub-Pattern Assignment (OSPA) metric, suggest that the Gibbs-GLMB filter accelerates computation while potentially compromising on measurement precision, which could lead to reduced accuracy in specific cases. The investigation also examines the influence of sensor geometry on tracking results, indicating that there is an association between tracking performance and sensor arrangement.

Hangzhou Dianzi University (CN), Shaanxi University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 55%
Radar Systems and Signal Processing
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Doppler Measurement-Based Positioning and Tracking Methods with External Radiation Radar — Zhengwang Tian, Weifeng Liu, et al. · (2024) | TGRS Research Map | TGRS