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Adaptive Detection using Widely Linear Processing with Data Reusing for DS-CDMA Systems

机译:使用具有DS-CDMA系统的数据重用的广泛线性处理的自适应检测

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In this work we propose widely linear (WL) processing data-reusing algorithms for interference suppression in direct-sequence code division multiple access (DS-CDMA) systems. Based on the widely linear estimation approach, we derive low complexity affine-projection algorithms for estimating the coefficients of adaptive linear multiuser receivers. Adaptation step normalization approaches are described for the WL type algorithms and comparison against their linear versions are carried out Simulation experiments show that the proposed techniques outperform previously reported algorithms for several scenarios.
机译:在这项工作中,我们提出了广泛的线性(WL)处理数据重用算法,用于直接序列码分多址(DS-CDMA)系统中的干扰抑制。基于广泛的线性估计方法,我们推导出低复杂性仿射投影算法,用于估计自适应线性多用户接收器的系数。适应步骤归一化方法被描述用于WL型算法,并且对其线性型号进行比较进行仿真实验表明,所提出的技术优于先前报告的若干方案的算法。

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