Robust Sampling Frequency Offset Estimation for OFDM over Frequency Selective Fading Channels

Abstract

Digital radio mondiale (DRM) is a terrestrial radio broadcasting standard to replace existing analogue AM and FM broadcasting, which is based on an orthogonal frequency division multiplexing (OFDM) technique. This paper focuses on the issue of estimating a sampling frequency offset (SFO) in OFDM-based broadcasting systems under frequency selective fading channels. In order to design a robust SFO estimation scheme and to benchmark its performance, the performance of the various conventional SFO estimation schemes is discussed and some improvements on the conventional estimation algorithms are highlighted. The simulation results show that such a design enhances the robustness of the proposed scheme against frequency selective fading.

Improved Frequency Offset Estimation Based on the DRM System

“…In the case of frequency selectivity, a pilot-assisted-based estimation method is proposed [12]. The algorithm eliminates the need for channel state information by a two-step correlation and obtains unbiased estimation under frequency selective fading.…”

“…Under the frequency-selective fading channel, the problem of sampling frequency offset estimation based on the OFDM broadcasting system was proposed by Jung and You [12]. C. Yan and M. Yan came up with an integer frequency offset estimation algorithm which exploits the correlation of frequency pilots to construct a novel angle vector [13].…”