载波频率偏移
残余物
计算机科学
补偿(心理学)
偏移量(计算机科学)
信道状态信息
网络数据包
光学(聚焦)
频道(广播)
算法
实时计算
频率偏移
无线
电信
正交频分复用
计算机网络
物理
光学
程序设计语言
心理学
精神分析
作者
Yan Chen,Xiang Su,Bing Zeng
标识
DOI:10.1109/tmc.2019.2934106
摘要
The various offsets existed in the commodity WiFi devices greatly limit the use of ubiquitous WiFi signals for indoor applications. In this paper, we focus on the estimation and compensation of the residual carrier frequency offset (CFO) for the commodity WiFi devices. Specifically, we consider a distorted channel state information (CSI) model by taking into consideration various CSI errors such as packet detection delay (PDD) and CFO. We propose a multiscale sparse recovery algorithm to get rid of the effect of PDD and extract the carrier frequency component out of CSI. Then, we formulate the residual CFO estimation as a spectrum estimation problem and utilize the MUSIC algorithm to estimate the residual CFO. Real experiments and numerical simulations are conducted to evaluate the performance of the proposed method. The experimental results and simulation results show that the residual CFO is time-varying, and compared with existing methods, the proposed method can better estimate and compensate the residual CFO, and thus achieve better results.
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