基于DS证据理论的机载火控雷达空空工作模式判定

针对机载火控雷达典型空空工作模式的判定问题,提出一种基于DS证据理论的判定体系。首先,从侦收到的敌方雷达信号中提取特征参数并构建雷达信号特征库,通过预判断流程快速实现单平台下的模式分组;然后,对分组后的多维空间模式识别结果运用DS证据理论,采用分布式结构进行单平台多周期时域融合和多平台空域信息融合,实现雷达工作模式判定。仿真结果表明:该体系能在单平台下识别速度搜索模式和单目标跟踪模式,在多平台下对边搜索边测距模式和边扫描边跟踪模式的判定信度达83.3%,实时性和准确率较好,具有实际应用价值。

Air-to-air Operation Modes Recognition of Airborne Fire Control Radar Based on DS Evidence Theory

To realize the air-to-air operation modes recognition of airborne fire control radar, a decision algorithm based on DS evidence theory is proposed. First, extracting features of the enemy radar signals received from surveillance data, and establishing the library base of radar signal. Then, a fast implementation of mode sorting under single platform is enabled through pre-judging process. Next, DS evidence theory is applied in processing results of multidimensional spatial pattern recognition in form of distributed structure. Single platform multi-period time domain fusion and multi-platform spatial information fusion are realized to accomplish operation modes recognition. The result shows that velocity searching and single target tracking modes can be recognized under single platform, the reliability of track while scan and range while scan recognition can reach 83.3%, proving the good realtime and accuracy rate performance of proposed algorithm.