Improved Frequency Offset Estimation Based on the DRM System

Abstract

In this paper, an improved frequency offset estimation algorithm is proposed. It can effectively utilize pilot symbols in orthogonal frequency division multiplexing (OFDM) signals based on the Digital Radio Mondiale (DRM) system. In order to reduce the computational difficulty, the difference values of adjacent pilot symbols in the DRM system are sequentially combined into a pilot difference set. The pilot difference set is analyzed by inductive statistics so that the frequency offset estimator has higher calculation efficiency and accuracy. Through the induction statistics of multiple groups of symbols, the contingency of results can be effectively avoided. By comparing the performance of the proposed frequency offset estimator with that of the traditional estimators, the proposed algorithm has higher frequency offset estimation accuracy.

Accurate Sinusoidal Frequency Estimation Algorithm for Internet of Things Based on Phase Angle Interpolation Using Frequency Shift

“…How to accurately estimate the sinusoidal signal frequency with noise is a crucial subject in signal processing, and it is also the focus of this paper. It is currently applied in communication [2], radar [3], mechanical fault diagnosis [4], smart cities [5], autonomous driving [6], and especially the Internet of Things (IoT) [7].…”