Abstract
Summary
In wireless communication systems, equalization is one of the most important schemes to improve the system performance. This paper consists of two main parts. The first part presents a blind carrier frequency offset (CFO) estimation scheme based on discrete cosine transform (DCT). The second part presents a joint low‐complexity equalization, and CFO compensation in orthogonal frequency division multiplexing (OFDM) systems. Moreover, in the second part, we present a joint low‐complexity regularized zero‐forcing (JLRZF) equalizer based on the proposed CFO estimation scheme. Simulation results show that the proposed configuration has the ability to perform blind CFO estimation and enhance the system performance in the presence of estimation errors.
In this paper, we present a blind low‐complexity estimation algorithm in carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) communication systems. Also, we propose a joint low‐complexity regularized zero forcing (JLRZF) equalizer that jointly preforms the equalization, and CFO compensation processes with lower complexity using the banded‐matrix approximation. The proposed system configuration requires approximately O(N) operations instead of O(N3) operations. Simulation results show the important role of the proposed algorithm as it provides an SNR gain of about 0.53 dB compared to the corresponding traditional OFDM system based on discrete cosine transform (DCT) at BER = 10−4.