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High performance neural network based multiuser detector in CDMA

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2 Author(s)
Yoon, S.H. ; Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA ; Rao, S.S.

We present a high performance neural network based multiuser detector in code division multiple access (CDMA) communications. This detector retains salient features of the annealed neural network based detector (ANNMD) and reduces its computational complexity. The BER performance of the proposed detector is close to the theoretical lower bound of the BER performance. We present a theoretical derivation of the hybrid type multiuser detector with improved hardware complexity. Extensive numerical evaluation of the proposed techniques as well as various suboptimal multiuser detectors is conducted using Monte-Carlo simulation

Published in:

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on  (Volume:4 )

Date of Conference:

21-24 Apr 1997

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