【摘要】 信号识别是电子支援系统(ESM)的基础,作者在传统序列差分直方图的基础上,提出了基于小波网络对不同脉冲重复间隔(PRI)模式的雷达信号进行分类的新方法。仿真试验表明,该雷达信号分类算法具有收敛速度快、自适应能力强、结构简单等优点,并且该算法在脉冲有丢失或被噪声污染的情况下仍然有很高的识别概率。该算法在雷达对抗中具有一定的实用性。更多还原

【Abstract】 The signal recognition is the foundation of electronic support measures (ESM) system, a novel algorithm of radar signal recognition with different pulse repetition interval (PRI) modes, based on tradition sequences difference histogram and wavelet networks, is proposed in this paper. Numerical simulation results show that the proposed algorithm has some virtues such as fast convergence, better self-adaptive capability for new PRI mode, simple structure, and it has also better recognition rate with very many missing observations and contaminated pulses. The proposed algorithm may have practicality in radar countermeasures.更多还原