摘要
提出一种识别包括相位编码、频率编码,以及脉内混合调制等复杂雷达信号的方法。该方法结合AR模型功率谱估计分析方法和小波变换模极大值方法,将复杂混合调制信号转化成相位编码信号,然后基于高次方频谱分析的方法提取信号的频率特征,首次实现了对6种复杂雷达信号的分类。实验表明,在信噪比为0dB时,大多数信号的识别率可以达到93以上。
This paper proposes a method to identify the complex radar signals, such as phase-shift keying signal, frequency-shift keying signal and hybrid modulation signal.Based on the combination of AR model power spectrum estimation and modulus maxima of wavelet transform, the complex modulated signals are converted into phase-shift keying signals.Then the frequency characteristics of the signals are extracted by high-order spectrum analysis.Simulation results show that the proposed method can identify up to six kinds of complex radar signals, and most signals can achieve more than 93% recognition accuracy when SNR is above 0 dB.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第15期156-159,164,共5页
Computer Engineering and Applications
基金
国家部委基金项目
