摘要
针对GMR-1 3G中EVM(Error Vector Magnitude)算法在π/4-CQPSK调制后产生了误差参数关联性高且求解准确性低的问题,提出了应用粒子群的EVM算法。该算法通过粒子群算法同时估计多个参数,利用误差估计结果修正接收信号,从而得到参考信号,进而计算EVM结果。仿真结果表明,参考信号近似理想信号,该算法与R&S频谱分析仪FQS26相比,EVM差值为0.31%,EVM不确定度为0.022%。可见,该EVM算法可以应用于GMR-1 3G系统,并能够精确测量EVM。
Aiming at the low accuracy of solving error parameters in EVM（Error Vector Magnitude） algorithm of GMR-1 3G system and the resulted high relevance after π/4-CQPSK modulation, a new EVM algorithm with application of particle swarm optimization algorithm is proposed. The proposed algorithm, via particle swarm algorithm, makes simultaneous estimation of multiple parameters, and by using error estimation result, corrects the received signal and obtains the reference signal for calculating the EVM result.Simulation indicates that the reference signal is approximate to ideal signal. Difference of EVM does not exceed 0.31% by comparing the simulation result with the result of RS spectrum analyzer FSQ26, and the EVM uncertainty is 0.022%.The proposed algorithm can be adopted in GMR-1 3G communication system for accurat measurement of EVM.
作者
吕宗琦
司伟立
LV Zong-qi SI Wei-li(Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China Institute of Computing Technology, Beijing 100190, China)
出处
《通信技术》
2017年第1期13-17,共5页
Communications Technology
关键词
粒子群
GMR-13G
EVM
调制精度
particle swarm optimization algorithm
GMR-13G
EVM
modulation accuracy
