Equalization is the most important algorithm to improve the Bit-Error-Rate (BER) performance in wireless communication systems. The Zero Forcing (ZF) equalizer, and the Minimum Mean Square Error (MMSE) equalizer suffer from noise enhancement, and high complexity, respectively. The ZF, and MMSE equalizers based on Successive Interference Cancellation (SIC) also suffer from error propagation, and high complexity, respectively. On the other hand, the MMSE, and the MMSE-SIC need the estimation of the Signal-to-Noise Ratio (SNR) to work properly. The Orthogonal Frequency Division Multiplexing (OFDM) systems are very sensitive to Carrier Frequency Offset (CFO) at the receiver side. In this paper, we propose a Joint Low-complexity Regularized ZF (JLRZF) equalizer based on SIC for the OFDM system that depends on the Discrete Sine Transform (DST). The proposed JLRZF-SIC scheme jointly performs the equalization and CFO compensation processes with low complexity using banded-matrix approximation. Simulation results show that the proposed JLRZF-SIC scheme improves the BER performance compared to other equalization algorithms.

均衡是提高无线通信系统中误码率（BER）性能的最重要算法。零强迫（ZF）均衡器和最小均方误差（MMSE）均衡器分别遭受噪声增强和高复杂度的困扰。基于连续干扰消除（SIC）的ZF和MMSE均衡器也分别遭受错误传播和高复杂度的困扰。另一方面，MMSE和MMSE-SIC需要估算信噪比（SNR）才能正常工作。正交频分复用（OFDM）系统对接收器侧的载波频率偏移（CFO）非常敏感。在本文中，我们为依赖离散正弦变换（DST）的OFDM系统提出了一种基于SIC的联合低复杂度正则化ZF（JLRZF）均衡器。所提出的JLRZF-SIC方案使用带状矩阵逼近来共同执行低复杂度的均衡和CFO补偿过程。仿真结果表明，与其他均衡算法相比，所提出的JLRZF-SIC方案提高了BER性能。