Hardware implementation of a multiuser detection scheme based on recurrent neural networks

被引：0

作者：

Schlecker, W ^{[1
]}

Engelhart, A

Teich, WG

Pfleiderer, HJ

机构：

[1] Univ Ulm, Microelect Dept, Ulm, Germany

[2] Univ Ulm, Dept Informat Technol, Ulm, Germany

来源：

FIELD-PROGRAMMABLE LOGIC AND APPLICATIONS, PROCEEDINGS: RECONFIGURABLE COMPUTING IS GOING MAINSTREAM | 2002年 / 2438卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper we describe the hardware (HW) implementation of a discrete-time channel matrix computation and a multiuser detection (MUD) scheme. We propose a MUD scheme based on recurrent neural networks (RNN) for the TDD mode of UMTS Terrestrial Radio Access. This algorithm achieves a performance which is close to the optimum MUD, while keeping the computational complexity low. To reach the high real-time data throughput we implemented the algorithm with parallel multipliers on a field programmable gate array (FPGA).

引用

页码：1097 / 1100

页数：4