Abstract:
The various offsets existed on the commodity WiFi devices greatly limit the use of ubiquitous WiFi signals for indoor applications. In this paper, we focus on the estimat...Show MoreMetadata
Abstract:
The various offsets existed on 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 introduce 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 propose to utilize the MUSIC algorithm to estimate the residual CFO. Real experiments are conducted to evaluate the performance of the proposed method. The experimental 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.
Date of Conference: 20-24 May 2019
Date Added to IEEE Xplore: 15 July 2019
ISBN Information: