阵发蒸发波导的非均匀压缩感知及重构方法研究

Fighting for mastery of the electromagnetic now becomes the focus of competition. Evaporation duct is a double-edged sword, so its characteristic parameters urgently need to be sensed efficiently and accurately. But, it not only is high cost-effective but also improves resolution in a limited range by just increasing the density of buoys. Compressed sensing provides the theoretical basis for the existence, height and intensity, etc. awareness of intermittency evaporation duct, which is recovered from a small amount of low speed measurements. There are still some problems like non-uniform efficiently sensing of evaporation duct information and its accurate recovery with time-varying supporting set. The research centers on those problems mainly includes (1) proposing an efficient measuring method for characteristic parameters of intermittency evaporation duct, and making full use of a effectiveness priori to control the information acquisition rate and realize non-uniform sensing; (2) discussing a new way of sparsity constraint by introducing filtering process and covering the shortage that the traditional norm is not able to scale the time-varying sparsity, and appearing to solve the problem that the recovery algorithms require deterministic sparsity; (3) presenting reconstruction algorithm for evaporation duct with time-varying supporting set to improve on the decreased performance in recovery caused by non-uniform sensing..The traditional mode of “high speed sampling first and mass discarding then” is abandoned, and it’s hopeful that the intermittency evaporation duct is sensed efficiently and precisely. Meanwhile, the dynamic compressed sensing theory is enriched.

夺取制电磁权是如今各方争夺的焦点，准确获知海上蒸发波导这把“双刃剑”的特征参数已刻不容缓，若采取增大传感器布设密度的传统方式来换取感知分辨率的提升，则费效比高，且分辨率提升空间有限。压缩感知理论为从相对稀少的观测数据中获知阵发蒸发波导存在性及高度、强度等参数提供了可能。本项目围绕其中存在的波导信息非均匀高效感知和支撑集时变条件下信息重构两大问题展开研究。主要工作包括：⑴提出一种阵发蒸发波导特征参数的高效感知方法，充分利用波导信息的有效性先验控制采集节奏，有望实现非均匀地、有侧重地采集；⑵研究以滤波过程约束蒸发波导信息稀疏度的方法，弥补常规范数无法衡量支撑集时变信号稀疏度的不足；⑶提出支撑集时变条件下蒸发波导信息重构方法，解决非均匀压缩采集后常规方法难以重构信号的难题。.本项目摒弃“先高速采样，后大量丢弃”的传统模式，有望实现阵发蒸发波导信息的准确高效感知及重构，有助于丰富动态压缩感知理论。

蒸发波导是由海水蒸发而引起的异常大气折射结构，对电子系统(如雷达、通信等)的影响俨然已成为一把“双刃剑”：既有助于实现超视距通信及雷达探测，又可能被对方利用致使我方目标过早暴露。因此，在电磁空间被各方激烈争夺的今天，获知蒸发波导这把“双刃剑”的存在性及其参数已刻不容缓。面对充满未知的广袤海洋，如果仅仅依靠增大探测器布设密度的方式获取波导信息，不仅费效比过高，而且将始终无法满足对态势感知时间、范围和精度日益增长的需求。压缩感知理论为从相对稀少的观测数据中获知阵发蒸发波导存在性及其等参数提供了可能。本项目围绕其中存在的波导信息高效感知和支撑集时变条件下信息重构两大问题展开研究。主要工作包括：⑴提出基于压缩感知理论的海洋数据采集重构方案，节省大量采集资源并准确重构数据；⑵提出基于结构特征约束两阶段重构的多假设预测压缩感知重构方法，解决高效压缩感知后支撑集时变给蒸发波导信息重构带来的难题。.本项目有助于蒸发波导信息的高效感知及重构，观通、航保、通信等部门人员可通过本项目成果及时了解蒸发波导分布信息。同时，我国东部沿海及南海海域的海面波导资源十分丰富，利用其进行超视距通信，可在特定条件下作为常规微波通信的补充，延长通信距离，具有重要的军事经济应用价值。