雷达侦收自适应信号处理架构研究

A Study on Adaptive Signal Processing Frameworks for Radar Reconnaissance

针对复杂电磁环境中雷达侦察信号自适应处理的需求,对雷达信号侦察问题进行了建模与分析,讨论了若干可能的自适应侦察信号处理架构。在雷达侦察信号处理模块算法方面,研究了特征自适应检测与分析、信号自适应分选等处理架构,以提升低可识别信号的自适应处理能力;在侦察系统处理流程方面,研究了具有跟踪与预测能力的自适应处理架构,以增强对电磁环境态势的动态感知能力;在侦察系统与其他分系统协作层面,研究了基于雷达系统抗干扰需求和干扰机智能化干扰需求的自适应侦察协作架构,以提升电子战系统效能。该研究可为自适应雷达对抗处理研究提供有益思路。

To satisfy the requirements of adaptive signal processing for radar reconnaissance in modern complex electromagnetic environment,several adaptive signal processing frameworks are studied based on the modeling and analysis of radar reconnaissance problem.For signal processing modules and algorithms,structures such as adaptive feature detection and analysis frameworks,and adaptive signal deinterleaving framework are designed to enhance the capabilities of processing newly emerging low probability of recognition signals.For signal processing flow of the reconnaissance system,the capabilities of dynamic situation awareness are expanded based on corresponding adaptive tracing and prediction frameworks.For the cooperation between a radar reconnaissance system and other subsystems,adaptive cooperation frameworks are designed to work together with a radar system and a jamming system respectively for different requirements,so that the overall operational effectiveness is improved.It is assumed to provide some helpful ideas for further researches in adaptive radar countermeasures.