Resource Scheduling Algorithm for Multi-Target Imaging in Netted Radar Based on SIMO Technology
SEVENTH ASIA PACIFIC CONFERENCE ON OPTICS MANUFACTURE (APCOM 2021)(2022)
摘要
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.
更多查看译文
关键词
resource scheduling, netted radar, SIMO technology, cognitive imaging
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要