Journal of the Korea Academia-Industrial cooperation Society (한국산학기술학회논문지)

The Korea Academia-Industrial cooperation Society (한국산학기술학회)
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Direct-band spread system for neural network with interference signal control

직접 대역 확산 시스템에서 신경망을 이용한 간섭 신호 제어

  • Cho, Hyun-Seob (Department of Electronics Engineering, Chungwoon University)
  • 조현섭 (청운대학교 전자공학과)
  • Received : 2013.02.18
  • Accepted : 2013.03.07
  • Published : 2013.03.31
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Abstract

In this Paper, a back propagation neural network learning algorithm based on the complex multilayer perceptron is represented for controling and detecting interference of the received signals in cellular mobile communication system. We proposed neural network adaptive correlator which has fast convergence rate and good performance with combining back propagation neural network and the receiver of cellular. We analyzed and proved that NNAC has lower bit error probability than that of traditional RAKE receiver through results of computer simulation in the presence of the tone and narrow-band interference and the co-channel interference.

본 논문은 신경망을 이용한 간섭 신호 제어로써 합성 다층 퍼셉트론에 입각하여 셀룰라 이동 통신에서의 수신된 신호들을 역전파 학습알고리즘을 이용하여 검파하는 것에 대하여 소개하였다. 그리고 컴퓨터 시뮬레이션 결과를 통하여 공동 간섭과 협대역 간섭의 실제 음색에서 기존에 쓰여진 레이크 수신기보다 더 낮은 비트 오차 확률을 가지는 NNAC(neural network adaptive correlator)에 대하여 분석 하였다.

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References

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