PCMA系统自干扰频率估计新算法

成对载波多址（PCMA）是一种新兴的频率重用技术,通过对自干扰信号的重构和抑制能够有效提高系统容量,其关键技术在于自干扰信号的参数估计。针对PCMA系统特点提出了一种无需单独训练的自干扰信号频率估计新方法,利用本地信号与对方信号的弱相关性,基于最小均方误差拟合准则拟合出相关函数的估计曲线,从而获得频偏估计值。仿真结果表明该算法能够得到比较小的估计误差和较为理想的误码率性能。

A Novel Self-Interference Frequency Estimation Algorithm in PCMA Systems

Paired Carrier Multiple Access（PCMA）is a newly-emerged frequency re-use technology,and this technology could efficiently increase the system capacity by rebuilding and suppressing the self-interference signal.It＇s key technique lies in the estimation of signal characteristics.This paper proposes a novel non-training method for frequency estimation of self-interference signal aimed at PCMA systems,which takes advantage of the weak correlativity between local signal and desired signal,and fit an estimation curve for correlation function based on least mean square error principle in order to estimate the frequency offset.The simulation indicates that the proposed algorithm could achieve relatively accurate frequency estimation result and satisfies the BER performance.