电讯技术2018，Vol.58Issue(3)：290-294,5.DOI:10.3969/j.issn.1001-893x.2018.03.009
模平方优化的低复杂度多符号检测
Low Complexity Multi-symbol Detection with Modal Square Optimization
程功凡 1刘荣科 1赵岭 1牟伟清1
作者信息
- 1. 北京航空航天大学 电子信息工程学院,北京100191
- 折叠
摘要
Abstract
A low complexity multi-symbol detection algorithm with modular square optimization is proposed to solve the problem that the multi-symbol detection algorithm(MSD) has high complexity and is difficult to implement the demodulation of pulse-code modulation/frequency modulation(PCM/FM) signals.The used computing resources decrease to about 80% of the original by the method of approximating the squared operation in traditional MSD to an absolute value addition and subtraction operation.Simulation re-sults show that compared with the traditional MSD algorithm,the optimization algorithm reduces the compu-tational resources with little performance degradation and is conducive to hardware implementation with strong practical value.关键词
PCM/FM信号/多符号检测算法/模平方运算/低复杂度Key words
PCM/FM signal/multi-symbol detection/modular square approximation/low complexity分类
信息技术与安全科学引用本文复制引用
程功凡,刘荣科,赵岭,牟伟清..模平方优化的低复杂度多符号检测[J].电讯技术,2018,58(3):290-294,5.
