| 摘要: |
| 针对无源协同电子侦察多目标场景下，接收天线波束覆盖范围受限导致目标非共视及天线波束指向资源竞争问题，提出一种多目标场景多站侦察波束指向优化调度方法。首先，利用侦察站点获取的辐射源描述字建立对辐射源目标在不同波束指向下的信噪比预测与站点可视判决模型。其次，为解决对关键威胁目标共视站点数量不足导致的粗定位精度不够问题，，综合利用高增益可视站点的正向引导与非共视站点的空间弱约束信息，驱动非共视站点进行在线波束扫描，从而提高可视站点数量并获得较为准确的目标粗定位信息。最后，针对关键威胁目标的多站共视与高精度定位需求，建立综合考虑关键、非关键目标共视站点数量、拓扑结构及定位需求的波束指向调度代价函数，并采用粒子群算法搜索解算出多站波束指向优化配置结果。仿真对比结果表明，所提方法在多目标侦察及波束指向资源受限场景下，能够保障对多个关键威胁目标的共视站点与高精度定位需求，并较好地兼顾对非关键威胁目标的基础定位性能需求。 |
| 关键词: 分布式协同电子侦察 波束调度 多目标优化 |
| DOI： |
| 分类号:TN971 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| Optimal scheduling of multi-station reconnaissance beam pointing in multi-target scenarios |
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| Abstract: |
| To address the issues of target non-co-visibility and antenna beam pointing resource competition caused by limited receiving antenna beam coverage in multi-target passive cooperative electronic reconnaissance, a multi-station reconnaissance beam pointing optimization and scheduling method is proposed. First, based on the Emitter Descriptor Words acquired by the reconnaissance stations, a SNR prediction and station visibility determination model for emitter targets under different beam pointing is established. Secondly, to resolve the issue of insufficient coarse localization accuracy caused by an inadequate number of co-visible stations for critical threat targets, the forward guidance of high-gain visible stations and the spatial weak constraint information of non-co-visible stations are jointly utilized. This drives non-co-visible stations to perform online beam scanning, thereby increasing the number of visible stations and obtaining relatively accurate coarse target localization information. Finally, aiming at the multi-station co-visibility and high-precision localization requirements of critical threat targets, a beam pointing scheduling cost function is formulated, comprehensively considering the number of co-visible stations, spatial topology, and localization demands of both critical and non-critical targets. The Particle Swarm Optimization algorithm is then employed to derive the optimal configuration for multi-station beam pointing. Simulation comparison results demonstrate that in multi-target reconnaissance scenarios with constrained beam pointing resources, the proposed method robustly guarantees the co-visibility and high-precision localization requirements for multiple critical threat targets, while effectively accommodating the basic localization performance needs of non-critical threat targets. |
| Key words: distributed cooperative electronic reconnaissance beam scheduling multi-target optimization |