在对多种可应用于VMIMO-OFDM系统的频偏估计方法的性能和效率进行分析的基础上,针对基于VMIMO-OFDM的无线传感器网络中的精频偏估计问题,提出了一种在频域进行频偏估计的算法。同时,针对基于VMIMO-OFDM的无线传感器网络应用于瑞利衰落严重的环境时不同的导频子载波上频偏估计的误差差异较大的问题,提出了一种基于信道统计信息(CSI)加权的精频偏估计算法,该方法对各个子载波上的频偏估计结果进行加权平均,可使估计误差最小化。理论分析和仿真结果均表明,新提出的算法在高斯信道和多径信道中均有更优的性能。
The paper proposes a new frequency domain processing algorithm for fine carrier frequency offset estimation in VMIMO-OFDM wireless sensor networks. Considering that for the wireless sensor networks deployed in Rayleigh fading environments, the estimation errors among different pilot subcarriers are large, the proposed algorithm weights the estimation results according to the channel statistical information (CSI). Both of the theoretical analysis and simulation results demonstrate that the proposed algorithm has better performance than the time domain estimation algorithms in the additive white Gaussian noise (AWGN) and Rayleigh fading channels.