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Pipeline Implementation of Adaptive Filters Enabling Fast Mobile Communication

自适应滤波器的管道实现实现快速移动通信

基本信息

批准号：
11650389
负责人：
NISHIKAWA Kiyoshi
金额：
$ 0.96万
依托单位：
TOKYO METROPOLITAN UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1999
资助国家：
日本
起止时间：
1999 至 2001
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650389/
关键词：
Wireless communication CDMA pipelining LMS adaptive filter RLS adaptive filter Fading inter-symbol interference DFE 高スループット DSP RLSアルゴリズムスケジューリングパイプライン実現

项目摘要

In wireless communication systems, many interferences, such as inter-symbol interference (ISI), or inter-access interference (IAI) are occurred due to the noise and to the fading. Interference canceler, that is used for canceling those unwanted interferences, become an important unit in wireless communication systems. Their importance will increase as contents carried in wireless communications will shift from speech-only information to multimedia data.In this research, we considered a method for increasing operable frequency of an interference canceler with maintaining its performance. For that purpose, we developed methods for pipeline implementation of the adaptive filters used in interference cancelers. The pipeline implementation is a technique to increase the throughput of the circuits by shortening its longest path. Note that we use the term throughput to show the number of input samples per unit time that can be processed by a canceler.In interference cancelers, two types of ad … More aptive filters are usually used, that is, the LMS adaptive filter and the RLS adaptive filter. The LMS filter is known to be implemented with rather small amount of computation although it requires long time for leaning. On the other hand, the RLS filter can provide faster learning by paying huge computational costs. We should, therefore, select one of them according to the requirement of the applications and available resources such as the amount of usable hardware, or power consumptions allowed.Because the basic characteristics of the adaptive filters differ, we should prepare different scenario for realizing pipeline implementation for those filters. From this view point, we considered two techniques for pipeline implementation, namely, hardware pipelining and software pipelining according to the characteristics of the adaptive filter. We then derived a hardware pipelining method for the LMS adaptive filters and a software one for RLS adaptive filters. We showed that the proposed method for the LMS filter enables us to pipeling the filter without any processing delays so that no performance loss will be generated. On the other hand, the software method for the RLb filter enables us to reduce the more than half of the required amount of calculation when the method is implemented using DSP processors. Less

在无线通信系统中，由于噪声和衰落而发生许多干扰，诸如符号间干扰（ISI）或接入间干扰（IAI）。干扰消除器是无线通信系统中的一个重要单元，用于消除干扰。随着无线通信中承载的内容从单纯的语音信息向多媒体数据的转移，干扰消除器的重要性也将随之增加。在本研究中，考虑了在保持干扰消除器性能的同时，提高干扰消除器的工作频率的方法。为此，我们开发了用于干扰消除器中的自适应滤波器的流水线实现方法。流水线实现是一种通过缩短最长路径来提高电路吞吐量的技术。注意，我们使用吞吐量一词来表示消除器在单位时间内可以处理的输入样本数。在干扰消除器中，有两种类型的ad 关于我们通常使用自适应滤波器，即LMS自适应滤波器和RLS自适应滤波器。已知LMS滤波器以相当小的计算量来实现，尽管它需要长的学习时间。另一方面，RLS滤波器可以通过支付巨大的计算成本来提供更快的学习。因此，我们应该根据应用的需求和可用的资源（如可用硬件的数量或允许的功耗）来选择其中之一。由于自适应滤波器的基本特性不同，我们应该为这些滤波器准备不同的场景来实现流水线实现。从这个角度出发，根据自适应滤波器的特点，我们考虑了两种流水线实现技术，即硬件流水线和软件流水线。然后，我们推导出一个硬件流水线的LMS自适应滤波器和一个软件的RLS自适应滤波器的方法。我们表明，所提出的LMS滤波器的方法使我们能够在没有任何处理延迟的情况下对滤波器进行管道化，从而不会产生性能损失。另一方面，RLb滤波器的软件方法使我们能够减少一半以上的计算量时，该方法是使用DSP处理器实现的。少