【摘要】 为自动识别MASK、MFSK、MPSK和MQAM信号的调制类型,提出一种瞬时幅度提取算法。该算法不需要对信号进行Hilbert变换和实现码元同步。在此基础上,提出7个特征参数和基于判决理论的调制自动识别算法。仿真结果表明,当信噪比≥8 dB时,识别算法的平均识别成功率≥97%,证明提出的瞬时幅度提取算法和调制自动识别算法均有效,可用于实际信号的在线分析。更多还原

【Abstract】 In this paper,a new algorithm for extracting the instantaneous amplitudes of the intercepted signals is proposed in order to automatically recognize the modulation types of MASK,MFSK,MPSK and MQAM signals.This algorithm has no need of Hilbert transformation or symbol synchronization.On the basis of this,seven feature parameters and a modulation recognition algorithm of the aforementioned four types of signals are derived.Simulations result shows that the average modulation recognition success rate is≥97% at Signal-to-Noise Ratio(SNR)≥8 dB.It proves that the new algorithms for both the instantaneous amplitude extracting and the modulation recognition are efficient and can be used in practical online analysis.更多还原