基于小样本脉冲序列匹配的重点雷达目标快速识别

Fast Recognition of Key Radar Target Based on Small Sample Pulse Sequence Matching

针对雷达对抗侦察系统如何快速有效识别出重点雷达电子目标的问题,提出了利用雷达小样本脉冲序列模板从接收到的复杂混合脉冲序列中抽取重点雷达信号的思路,并实现了该算法,克服了目前雷达对抗侦察信号处理流程僵化、识别速度与识别正确率受信号分选算法限制的缺陷。在此基础上,提出了多目标并行理论分析与计算机仿真实验,进一步验证了该方法能够在密集雷达脉冲流中快速、准确识别出重点雷达电子目标。

Aiming at the problem that how to identify the radar target quickly and effectively in radar reconnaissance system. The idea of extracting the radar signal from the received complex pulse sequence is presented by using the small sample pulse sequence template and the algorithm is achieved. This paper overcomes the defects of rigid processing flow as well as the recognition speed and the recognition accuracy being limited by signal sorting algorithm of the current radar reconnaissance signal. On this basis, the propos- ed multi-objective parallel theory analysis and computer simulation experiment verify that the proposed method can identify the key radar target in dense radar pulse stream quickly and accurately.