一种改进的GMSK信号差分检测算法

摘要

在Laurent分解的基础上,提出了一种改进的差分检测算法,算法在传统差分检测算法基础上增加Laurent匹配滤波及白化滤波,消除了其它分解子波形对算法性能的影响.仿真结果表明,误码率为时,文中提出的算法与传统差分检测算法相比有近0.5 dB的信噪比增益,算法复杂度没有明显增加.%Traditional differential detection of GMSK is improved by a new method based on decomposition with Laurent method, this new method added Laurent match filter and whitening filter , it reduced the impact of other sub waveforms after decomposing. The simulation shows the advantage of this new method, when bit error rate is, the new method have about 0.5 dB signal to noise ration gain compared with the traditional method, and its complexity is increasing little.