时变信道中的迭代与自适应均衡器

Clemens Buchacher, J. Wehinger, M. Huemer
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引用次数: 3

摘要

本文讨论了迭代均衡器与自适应均衡器在通用移动通信系统(UMTS)高速下行分组接入(HSDPA)接收机中的应用。研究的算法包括最小均方(LMS)和递归最小二乘(RLS)算法及其对码分多址(CDMA)的适应,如Griffith算法和共轭梯度(CG)算法。我们发现自适应算法在中高移动速度的HSDPA场景下表现不佳,而共轭梯度算法在相同甚至更低的复杂度下获得了比任何研究的自适应算法更高的性能。我们还讨论了考虑过采样的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative Versus Adaptive Equalizers in Time-Variant Channels
This paper discusses the application of iterative versus adaptive equalizers to a Universal Mobile Telecommunications System (UMTS) High Speed Downlink Packet Access (HSDPA) receiver. Among the investigated algorithms are the Least Mean Square (LMS) and Recursive Least Square (RLS) algorithms and their adaptions to Code Division Multiple Access (CDMA), such as Griffith's algorithm, as well as the conjugate gradient (CG) algorithm. We show that adaptive algorithms do not perform well in HSDPA scenarios at medium to high mobile speed, and that the conjugate gradient algorithm achieves higher performance at the same or even lower complexity than any of the investigated adaptive algorithms. We also discuss the necessity to consider oversampling.
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