基于ESM与ELINT信息融合的机载辐射源识别

Airborne Emitter Recognition Based on Multisensor Data Fusion of ESM and ELINT

本文深入研究了E SM和EL INT多传感器系统的机载辐射源识别方法.首先针对E SM系统提供的辐射源多特征信息,提出了基于模糊综合评估获取基本可信度赋值函数(BPAF)的方法;针对EL INT系统量测数据的特点,提出了基于灰关联分析的BPAF获取方法.在此基础上,研究了应用D-S证据理论进行多传感器信息融合,从而识别机载辐射源的原理.识别实例和对比实验表明,本文提出的BPAF获取方法是实用有效的,基于信息融合的识别正确率高.

The method of airborne emitter recognition based on multisensor system of ESM and ELINT is deeply discussed in this paper. First, based on the measurement of ESM system, a new method to calculate the Basic Probability Assignment Function （BPAF） with fuzzy synthetic evaluation is proposed. Based on the measurement of ELINT system,the method to calculate the BPAF with the gray correlation analysis is proposed too. And further,the paper introduces the multisensor data fusion method based on the Dempster-Shafer （D-S） evidence theory, which is applied to the airborne emitter recognition of multisensor system of ESM and ELINT. The experiments indicate that the proposed method to calculate BPAF is practicable and the recognition method is effective.