Neural network based CDMA detector with robust near-far resistance

David C. Chen; Bing J. Sheu; Wai-Chi Fang

doi:10.1109/ISCAS.1997.621576

Neural network based CDMA detector with robust near-far resistance

David C. Chen^*, Bing J. Sheu, Wai-Chi Fang

^*Corresponding author for this work

Institute of Electronics

Research output: Contribution to journal › Conference article › peer-review

Abstract

In code division multiple access (CDMA), high efficiency for spectrum usage and robust jamming resistance have been increasingly important. However, the inherent near-far problem is an impediment. Although deliberate power control algorithms can partially solve this problem, the cost is high. In this paper, a compact neural network based detector for CDMA is proposed. By proper array processing and applying hardware annealing technique, the VLSI implementation of optimal multisuer detector (OMD) is suitable.

Original language	English
Pages (from-to)	2120-2123
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	3
DOIs	https://doi.org/10.1109/ISCAS.1997.621576
State	Published - 1997
Event	Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4) - Hong Kong, Hong Kong Duration: 9 Jun 1997 → 12 Jun 1997

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title = "Neural network based CDMA detector with robust near-far resistance",

abstract = "In code division multiple access (CDMA), high efficiency for spectrum usage and robust jamming resistance have been increasingly important. However, the inherent near-far problem is an impediment. Although deliberate power control algorithms can partially solve this problem, the cost is high. In this paper, a compact neural network based detector for CDMA is proposed. By proper array processing and applying hardware annealing technique, the VLSI implementation of optimal multisuer detector (OMD) is suitable.",

author = "Chen, {David C.} and Sheu, {Bing J.} and Wai-Chi Fang",

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AU - Sheu, Bing J.

AU - Fang, Wai-Chi

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AB - In code division multiple access (CDMA), high efficiency for spectrum usage and robust jamming resistance have been increasingly important. However, the inherent near-far problem is an impediment. Although deliberate power control algorithms can partially solve this problem, the cost is high. In this paper, a compact neural network based detector for CDMA is proposed. By proper array processing and applying hardware annealing technique, the VLSI implementation of optimal multisuer detector (OMD) is suitable.

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DO - 10.1109/ISCAS.1997.621576

M3 - Conference article

AN - SCOPUS:0030647140

SN - 0271-4310

VL - 3

SP - 2120

EP - 2123

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 1997 IEEE International Symposium on Circuits and Systems, ISCAS'97. Part 4 (of 4)

Y2 - 9 June 1997 through 12 June 1997

ER -

Neural network based CDMA detector with robust near-far resistance

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