一种针对复杂体制雷达信号的分选识别方法

摘要

With the increasing number of radar with new system, the electromagnetic environment that radar reconnaissance faces is becoming more and more complex, which puts forward severe test to signal sorting and identification.Based on the above background, this paper gives a signal sorting method based on pulse sequence samples.The method takes the similarity matching principle of time sequence as the core, and has strong adaptability to signal environment with signal overlapping in time domain and frequency domain and the signal environment with noise pulse.Based on the sorting recognition principle and processing flow, the performance of this method is verified.The experimental results show that the method has high recognition rate and similar multi-signal sorting ability, and has strong engineering applicability.%随着新体制雷达的日益增多, 雷达侦察面临的电磁环境变得越来越复杂, 这对信号分选和识别也提出了极为严峻的考验.基于上述背景, 给出了一种基于脉冲序列样本的信号分选方法, 该方法以时间序列的相似性匹配原理为核心, 对具有时域、频域参数交叠的信号环境、含噪声脉冲的信号环境适应性强.在给出分选识别原理和处理流程的基础上, 对本方法的性能进行了验证, 实验结果表明本方法正确识别率高, 同时相似多信号分选能力强, 具有较强的工程适用性.