雷达辐射源识别的多元信息融合算法研究

Multi-data Fusion Algorithm for Radar Emitter Identification

该文针对复杂电磁环境下侦察设备获得的雷达辐射源信息具有不完整性和模糊性的情况,通过对现代雷达侦察情报特点的分析,研究了利用多种侦察设备获得的多元信息,采用证据理论信息融合的方法对雷达辐射源进行识别。设计了辐射源属性的基本概率赋值函数,提出了辐射源属性融合、多侦察周期时域融合和多侦察设备空域融合的三级融合算法。仿真结果表明该融合算法具有优越的性能。

The information of radar emitter acquired by reconnaissance equipment is partial and fuzzy under complicated electromagnetic environment. For this reason, this paper firstly analyzes the characteristics of modern radar ELINT, and then identifies radar emitter by means of Dempster-Shafer fusion method based on multi-data from various kinds of reconnaissance equipment. It designs Basic Probability Assignment Function （BPAF） of emitter characters. It presents a three-degree fusion algorithm, including emitter character fusion, multiple reconnaissance period time fusion, and multiple reconnaissance equipment space fusion. The fusion algorithm is proved to have superior performance with the help of simulation results.