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Performance of NLMS-based Parallel Interference Cancellation (PIC) For Up-Link CDMA Systems

机译:上行CDMA系统基于NLMS的并行干扰消除(PIC)的性能

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摘要

Parallel interference cancellation (PIC) is a promising detection technique to suppress multiple access interference (MAI) for up-link direct-sequence CDMA (DS-CDMA) systems. Adaptive PICs are attractive due to its low implementation complexities and good performance. In this paper, we propose a general framework for analyzing the bit error rate (BER) and convergence performance of the normalized LMS (NLMS) based PIC. To further improve the convergence speed of the PIC system, a novel switch-mode noise-constrained NLMS (SNC-NLMS) algorithm for the adaptive multistage PIC (AMPIC) is also proposed. Simulation results show that the analytical results are reasonably accurate and the SNC-NLMS AMPIC outperforms the NLMS-based one, if the algorithm parameters are properly chosen.
机译:并行干扰消除(PIC)是一种有前途的检测技术,用于抑制上行链路直接序列CDMA(DS-CDMA)系统的多址干扰(MAI)。自适应PIC由于实现复杂度低和性能好而具有吸引力。在本文中,我们提出了一个通用框架,用于分析基于归一化LMS(NLMS)的PIC的误码率(BER)和收敛性能。为了进一步提高PIC系统的收敛速度,还提出了一种适用于自适应多级PIC(AMPIC)的新型开关模式噪声约束NLMS(SNC-NLMS)算法。仿真结果表明,如果正确选择算法参数,则分析结果相当准确,并且SNC-NLMS AMPIC的性能优于基于NLMS的算法。

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