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根据小波理论,利用小波变换的尺度分解和局部放大的能力,对调制信号进行小波变换和分解,挖掘调制信号在间断点的瞬态特性,成功建立了不同调制方式和其调制特征间的对应关系。在不需要同步和符号速率等先验知识的情况下,实现了对MASK、MFSK、MPSK、MQAM等数字调制方式的完全识别。通过理论分析和计算机仿真验证了所提方法的有效性和实用性,具有很高的应用价值。
Abstract：The wavelet transform is used for detecting transient signals and extracting time-frequency characters in digital modulation signals.The approach is based on the ability of multiscale analysis of wavelet transform.We propose a suitable method for distinguishing MASK signal,MFSK signal,MPSK signal and MQAM signal without any pre-knowledge.The simulation results show that the method is reasonable and can perform well.
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基本信息:
DOI：
中图分类号:TN911.3
引用信息:
[1]赵成林,罗勇,石明军.基于小波变换的信号调制方式的识别研究[J].无线电工程,2010,40(01):10-12.
基金信息: