A compact neural-network-based CDMA receiver

被引：10

作者：

Chen, DC ^{[1
]}

Sheu, BJ

机构：

[1] Univ So Calif, Dept Elect Engn, Los Angeles, CA 90089 USA

[2] Univ So Calif, Integrated Media Syst Ctr, Los Angeles, CA 90089 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING | 1998年 / 45卷 / 03期

关键词：

Optimization; multimedia; neural network; receiver; spread spectrum; wireless communication;

D O I：

10.1109/82.664245

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A compact neural-network receiver for code-division multiple-access (CDMA) communication is presented, In the CDMA scheme, the near-far problem is a major impediment for the performance of a conventional detector (CD). By using a compact neural network with hardware annealing function and gradient-descent optimization technique, an optimal multiuser receiver can be implemented, The algorithm and simulation results of the compact neural-network-based CDMA receiver are described in this brief.

引用

页码：384 / 387

页数：4

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