Presentation 2002/6/20
Adaptive array antenna based on Radial Basis Function network as a Multi-user Detection for WCDMA system
Chang-Jun AHN, Iwao SASASE,
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Abstract(in English) In this paper, we propose an adaptive array antenna based on the radial basis function (RBF) network as a multi-user detection for WCDMA systems. The conventional array antenna system calculates the weight using the MF output signals. On the other hand, our proposed system calculates the weight using the RBF network output signal. Radial Basis Function is a kind of neural networks. It is a highly interconnected network of relatively simple processing units that operate in parallel, so it can provide high computational processing with simple nonlinear processors. Due to its massive parallelism and robustness, it can achieve high performance for channel tracking in multi-user case. Therefore, our proposed system obtains more accurate channel response vector using RBF output signal than that of the conventional CCM-SMI based on the matched filter. The performance is evaluated in term of bit error probability. From the simulation results, it is shown that our proposed scheme achieves better BER performance than those of the conventional systems.
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Keyword(in English) Adaptive array antenna / CCM-SMI / Radial Basis Function(RBF) / WCDMA
Paper # SAT2002-25
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Committee SAT
Conference Date 2002/6/20(1days)
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Registration To Satellite Telecommunications (SAT)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive array antenna based on Radial Basis Function network as a Multi-user Detection for WCDMA system
Sub Title (in English)
Keyword(1) Adaptive array antenna
Keyword(2) CCM-SMI
Keyword(3) Radial Basis Function(RBF)
Keyword(4) WCDMA
1st Author's Name Chang-Jun AHN
1st Author's Affiliation Dept. of Information and Computer Science, Keio University()
2nd Author's Name Iwao SASASE
2nd Author's Affiliation Dept. of Information and Computer Science, Keio University
Date 2002/6/20
Paper # SAT2002-25
Volume (vol) vol.102
Number (no) 145
Page pp.pp.-
#Pages 5
Date of Issue