Abstract
The conventional Zero Forcing (ZF), and Minimum Mean Square Error (MMSE) equalizers suffer from noise enhancement, and high complexity, respectively. Moreover, the MMSE equalizer needs the estimation of the Signal-to-Noise Ratio (SNR) to work properly. In this paper, we propose Joint Low-Complexity Regularized ZF (JLCRZF) equalizers based on Successive Interference Cancellation (SIC) for Orthogonal Frequency Division Multiplexing (OFDM). The Bit-Error-Rate (BER) performance of the OFDM system model is tested using different transforms such as Discrete Fourier Transform (DFT), Discrete Sine Transform (DST), Discrete Cosine Transform (DCT), and Discrete Wavelet Transform (DWT). The proposed JLCRZF-SIC equalizers jointly perform the equalization and Carrier Frequency Offset (CFO) compensation processes with lower complexity using banded-matrix approximation. Simulation results prove that the proposed JLCRZF-SIC equalizers outperform different linear, and non-linear equalizers, especially in the presence of estimation errors.
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