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• W3009718503 endingPage "153157" @default.
• W3009718503 startingPage "153157" @default.
• W3009718503 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." @default.
• W3009718503 created "2020-03-13" @default.
• W3009718503 creator A5052438659 @default.
• W3009718503 creator A5080762590 @default.
• W3009718503 creator A5087915634 @default.
• W3009718503 date "2020-05-01" @default.
• W3009718503 modified "2023-10-01" @default.
• W3009718503 title "Joint equalization and CFO compensation for performance enhancement of MIMO-OFDM communication systems using different transforms with banded-matrix approximation" @default.
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• W3009718503 doi "https://doi.org/10.1016/j.aeue.2020.153157" @default.
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