Parallel Interference Cancellation Based on Neural Network in CDMA Systems(Wireless Communication Technologies)

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概要

• 論文の詳細を見る

• In this letter, parallel interference cancellation (PIC) in code division multiple access (CDMA) was performed with two different structures by using a neural network (NN). In the first structure (receiver-1) the NN was used as a front-end stage of a one stage PIC circuit. In the second structure (receiver-2), the NN was used instead of the one stage PIC circuit and it was trained as a multiple access interference (MAI) detector to perform the PIC process by subtracting the MAI from the outputs of the matched filter. The PIC is a classical technique in multi user detection process and its bit error rate (BER) performance is not good in one stage for most of the applications. For improving its BER performance, generally a multi stage PIC which has the high computational complexity is used. In this study, we have gotten a better BER performance than a three stages PIC receiver with both proposed receivers that have the lower computational complexity.

• 社団法人電子情報通信学会の論文
• 2005-02-01

著者

• Isik Yalcm

  Kayseri Vocational Technical School Erciyes University

• TASPINAR Necmi

  Department of Electrical and Electronic Engineering, Erciyes University

• Taspinar N

  Department Of Electrical And Electronic Engineering Erciyes University

• Taspinar Necmi

  Department Of Electrical And Electronic Engineering Erciyes University

関連論文

• Parallel Interference Cancellation Based on Neural Network in CDMA Systems(Wireless Communication Technologies)
• Fuzzy Inference System for Multiuser Detection in CDMA Systems(Wireless Communication Technologies)
• Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM

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