基于目标优先级的增量式雷达辐射源信号参数识别方法

陆、海、空的战场侦察、监视、定位和跟踪等应用领域产生了海量、动态增加的雷达辐射源信号参数侦察数据。传统雷达辐射源信号参数分析方法无法高效利用新侦察数据,以提高雷达辐射源识别能力,特别是难以应对高威胁级别的辐射源目标的识别。提出一种基于目标优先级别的增量式雷达辐射源信号参数分析方法,能够有效针对新辐射源信号参数侦察数据进行增量式学习,大大提高高威胁雷达辐射源目标的识别能力。仿真实验证实了该方法的有效性。

An Incremental Radar Emitter Signal Identification Method based on Target Priority

In the application areas of battlefield reconnaissance, reconnaissance, positioning and tracking, there emerges huge amount of radar emitter signal parameter data which grows dynamically. The traditional radar emitter analysis methods are unable to make use of the newly-arrived emitter data to increase the emitter identification ability especially for emitters of high risk. In this paper, we propose a novel incremental radar emitter identification method based on target priority which increases the emitter identification ability for emitters of high risk significantly. Simulated experiments validate the effectiveness of our method.