复杂环境下基于噪声匹配的最大多普勒频移估计

本文针对城市复杂信道环境下的最大多普勒频移估计需求,根据莱斯衰落信道中电平通过率(LCR)算法的理论推导,提出了一种基于噪声匹配的最大多普勒频移估计算法.所提算法通过对接收信号进行低通滤波处理,实现干扰噪声与多普勒检测器之间的匹配,从而有效提高最大多普勒频移的估计性能.而且基于莱斯衰落信道下最佳滤波比值的分析和推导,得...

A Maximum Doppler Shift Estimation Based on Noise Matching Under the Complex Environment

According to the demand of maximum Doppler shift estimation under the urban complex channel environment,a novel maximum Doppler estimation is proposed based on noise matching.Through a low-pass filter designed (LPF) to filter the received signal,interference noise and the Doppler detector can be matched,thus the estimation performance of the maximum Doppler shift is increased effectively.Furthermore,by theoretical deduction of the best filtering ratio in Rice fading channel,two important deductions about the estimated error of proposed algorithm are presented.Monte-Carlo simulation results show that compared with the existing algorithms based on logarithmic envelope (LE) and modified covariance (MCOV),the proposed algorithm improves estimation performance by 2~5dB under the typical urban environment and low signal-noise-ratio (SNR<0dB) conditions.Therefore,proposed algorithm can ensure an accurate estimation of maximum Doppler shift and the receiving performance of mobile communication systems.