Target Localization with Distributed FDA-MIMO and EPC-MIMO Radars Using CD-MUSIC

This paper investigates the issue of target localization using a distributed radar system, consisting of Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) and Element-Pulse Coding MIMO (EPC-MIMO) radars in the environment of Gaussian white noise. The angle and range information are firstly obtained at each local radar station resorting to the Coordinate Descent Multiple Signal Classification (CD-MUSIC), which alternates between the two parameters while keeping the other fixed. Then, multiple sets of the local statistic are fused at fusion center, where an Iterative Least Squares (ILS) target localization method is performed to determine the target’s position. Numerical results are given to verify the localization performance with the devised approach in terms of Root Mean Square Error (RMSE), with comparison to the distributed radar system of all phased arrays.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868167
Citations
1
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.21

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article

Target Localization with Distributed FDA-MIMO and EPC-MIMO Radars Using CD-MUSIC

Minghui Sha, Lei Cui, Guozhong Chen, Lan Lan et al.
1 citations
Indoor and Outdoor Localization Technologies
0.21
article

Target Localization with Distributed FDA-MIMO and EPC-MIMO Radars Using CD-MUSIC

Minghui Sha, Lei Cui, Guozhong Chen, Lan Lan, Shengqi Zhu, Rui Ma, Ximin Li
article en
1 citations

Abstract

This paper investigates the issue of target localization using a distributed radar system, consisting of Frequency Diverse Array Multiple-Input Multiple-Output (FDA-MIMO) and Element-Pulse Coding MIMO (EPC-MIMO) radars in the environment of Gaussian white noise. The angle and range information are firstly obtained at each local radar station resorting to the Coordinate Descent Multiple Signal Classification (CD-MUSIC), which alternates between the two parameters while keeping the other fixed. Then, multiple sets of the local statistic are fused at fusion center, where an Iterative Least Squares (ILS) target localization method is performed to determine the target’s position. Numerical results are given to verify the localization performance with the devised approach in terms of Root Mean Square Error (RMSE), with comparison to the distributed radar system of all phased arrays.

Xidian University (CN), Shanghai Micro Satellite Engineering Center (CN), Beijing Institute of Radio Metrology and Measurement
Nature
Openalex Percentile: Top 44%
Indoor and Outdoor Localization Technologies
0.21
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