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

作者：Liping Yang, Kefei Liao, Shan Ouyang, Ningbo Xie · 发表于：Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021) · 年份：2022 · DOI：10.1117/12.2617170 · 被引用次数：3 · 研究领域：Radar Systems and Signal Processing、Sparse and Compressive Sensing Techniques、Advanced SAR Imaging Techniques

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.