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A New Ordering and Grouping Algorithm for the Linear Weighted Group Matched Filter Successive Interference Cancellation Detector

机译:线性加权群匹配滤波器相继干扰消除检测器的新排序与分组算法

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摘要

A linear group-wise successive interference canceller in a synchronous code-division multiple-access system (CDMA) is considered in this paper. The proposed hybrid detector that combines successive and parallel cancellation techniques makes use of advantages offered by the two techniques. The convergence of the hybrid interference cancellation (HIC) detector is guaranteed by an adjustable parameter that depends upon the largest eigenvalue of the system's transition matrix. Since the largest eigenvalue is difficult to estimate, an upper bound is necessary for successful convergence. For this reason, a new upper bound for the maximum eigenvalue of the system's transition matrix was developed. Moreover, a new ordering and grouping algorithm that results in a higher convergence speed is proposed. Simulation results show that a significant improvement in performance is obtained using this technique.
机译:本文考虑了同步码分多址系统(CDMA)中的线性逐组连续干扰消除器。提出的结合了连续和并行消除技术的混合探测器利用了两种技术提供的优势。可调干扰参数可确保混合干扰消除(HIC)检测器的收敛性,该参数取决于系统转换矩阵的最大特征值。由于最大特征值难以估计,因此必须有一个上限才能成功收敛。因此,开发了系统转换矩阵最大特征值的新上限。此外,提出了一种新的排序和分组算法,可以提高收敛速度。仿真结果表明,使用该技术可以显着提高性能。

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