A graph-based target localization method in non-uniform frequency diversity array radar

Ningbo Xie; Kefei Liao; Shan Ouyang; Qinlin Li

doi:10.1117/12.3023089

28 March 2024 A graph-based target localization method in non-uniform frequency diversity array radar

Ningbo Xie, Kefei Liao, Shan Ouyang, Qinlin Li

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 130911G (2024) https://doi.org/10.1117/12.3023089
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

The mapping of the radar echo dataset into a graph signal offers a novel perspective for solving the radar target localization problem. However, the published graph-based methods are mostly applicable to the uniform array configuration. In this paper, we propose an enhanced graph-based target localization method that can be applicable to the non-uniform frequency diversity array radar to fill this gap. Following the previous studies, we establish a space-domain graph model for the echo signal acquired from a non-uniform frequency diversity array radar. Subsequently, we employ the graph signal processing method to solve the target localization problem. Numerical simulations demonstrated that the proposed graph-based localization method provides a high resolution and accurate estimation, surpassing conventional methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ningbo Xie, Kefei Liao, Shan Ouyang, and Qinlin Li "A graph-based target localization method in non-uniform frequency diversity array radar", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 130911G (28 March 2024); https://doi.org/10.1117/12.3023089

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KEYWORDS

Radar

Matrices

Radar signal processing

Detection and tracking algorithms

Fourier transforms

Antennas

Numerical simulations

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