Resource scheduling algorithm for multi-target imaging in netted radar based on SIMO technology

Liping Yang; Kefei Liao; Shan Ouyang; Ningbo Xie

doi:10.1117/12.2617170

15 February 2022 Resource scheduling algorithm for multi-target imaging in netted radar based on SIMO technology

Liping Yang, Kefei Liao, Shan Ouyang, Ningbo Xie

Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 1216645 (2022) https://doi.org/10.1117/12.2617170
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong

Abstract

Aiming at the problem of limited resource allocation in netted radar system, this paper extends the idea of distributed multiple-input multiple-output (MIMO) radar to netted radar detection, and proposes a multi-target imaging resource scheduling algorithm for netted radar based on single-input multiple-output (SIMO) technology. The algorithm estimates the target size based on the target feature recognition, and uses the compressed sensing principle to calculate the pulse resources needed for target imaging. Secondly, the radar is selected according to the target size, and a reasonable resource scheduling model is established. Finally, the effectiveness of the algorithm is verified by simulation, and compared with the conventional netted radar algorithm, the scheduling success rate is improved and the consumption of pulse resources is reduced.

Citation Download Citation

Liping Yang, Kefei Liao, Shan Ouyang, and Ningbo Xie "Resource scheduling algorithm for multi-target imaging in netted radar based on SIMO technology", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 1216645 (15 February 2022); https://doi.org/10.1117/12.2617170

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KEYWORDS

Radar

Radar imaging

Detection and tracking algorithms

Imaging systems

Target recognition

Computer simulations

Navigation systems

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