摘要
为提高PCMA信号相位估计的精度,基于联合循环统计量与变步长最小均方(least mean square,LMS)的理论,提出了一种PCMA信号相位高精度估计算法。算法推导信号参数与循环统计量的定量关系进行相位的初估计,对接收信号进行变步长的LMS自适应滤波,通过迭代提升相位估计精度。对算法进行了不同维度的仿真对比实验,仿真结果表明,算法收敛速度快,适用范围广,性能相较于传统方法提升2dB左右。
In order to improve the accuracy of the phase estimation of the PCMA signal,a high-precision estimation algorithm for the phase of the PCMA signal is proposed based on the theory of combined cycle statistics and the variable step-size least mean square. The algorithm derives the quantitative relationship between signal parameters and cyclic statistics for initial phase estimation,and then performs variable-step LMS adaptive filtering on the received signal,and iteratively improves the phase estimation accuracy. The algorithm has been simulated and compared in different dimensions.The simulation results show that the algorithm has a fast convergence speed,a wide range of applications,and the performance is improved by about 2 dB compared with the traditional method.
作者
贺伟
刘晓芳
宋伟
HE Wei;LIU Xiaofang;SONG Wei(Faculty of Elctrical and Control Engineering,Henan University of Urban Construction,Pingdingshan 467036,China)
出处
《火力与指挥控制》
CSCD
北大核心
2022年第5期75-79,85,共6页
Fire Control & Command Control
基金
国家自然科学基金(61803145)
河南省高等学校重点科研项目(21B510002)
2019年度河南城建学院青年骨干教师基金资助项目(YCJQNGGJS201906)。
