基于最大累计度量的低复杂度多指数CPM信号解调  

A Low Complexity Demodulation Method for Multi-h CPM Signal Based on Maximum Cumulative Measure

作　　者：郑志东[1] 肖庆正 吴高洁 ZHENG Zhidong;XIAO Qingzheng;WU Gaojie(Institute of North Electronic Equipment,Beijing 100191,China;College of Joint Operation,National Defense University,Beijing 100091,China)

机构地区：[1]北方电子设备研究所,北京100191 [2]国防大学联合作战学院,北京100091

出　　处：《探测与控制学报》2021年第6期19-23,共5页Journal of Detection & Control

摘　　要：针对多指数连续相位调制(Multi-h CPM)信号解调的高复杂度问题,提出基于最大累计度量和脉冲幅度调制(PAM)分解相结合的低复杂度多指数CPM信号解调方法。该方法利用最大累计度量检测方法减少网格状态数,并通过PAM分解,降低接收端匹配滤波器的数量,进而降低接收端的总体解调复杂度。仿真验证结果表明,与传统的极大似然序列检测(MLSD)相比,该算法以较小的性能损失为代价,网格状态数量从32个减少到8个,匹配滤波器数量从8个降低到3个,有效降低了Multi-h CPM信号接收端的计算复杂度。Aiming at the high demodulation complexity of the present algorithms of demodulation for Multi-h CPM signal,a low-complexity demodulation method by combining the maximum cumulative measure detection and PAM decomposition was proposed.Firstly,A detection scheme for Multi-h CPM signal which could reduce the number of the grid states based on the maximum cumulative measure was proposed.Then the PAM decomposition was utilized to reduce the number of matched filters to further reduce the detection complexity at the receiver.The simulation results demonstrated that the proposed detection scheme could reduce the number of grid states and the number of matched filters from 32 to 8 and 8 to 3 respectively compared with the traditional maxi mum likelihood sequence detection(MLSD)with negligible performance loss.The numerical results validated that the proposed algorithm could effectively reduce the computational complexity of the multi-h CPM signal receiver.

关 键 词：多指数连续相位调制 LAURENT分解 最大累计度量 低复杂度 

分 类 号：TN911[电子电信—通信与信息系统]