Journal of Northeastern University ›› 2007, Vol. 28 ›› Issue (2): 197-200.DOI: -

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Simulation on performance of rake receiver with neural network-based combiner

Sha, Yi (1); Wang, Bin (1); Liu, Xiao-Ye (1); Wang, Guang-Xing (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2007-02-15 Published:2013-06-24
  • Contact: Sha, Y.
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Abstract: Linear combination technique for conventional Rake receiver is inadaptable to the nonlinear characteristics of wireless channel. So, the NN (neural network)-based combination technique is studied, which introduces the NN model with multilayer perception to determine model structure through simulation. Under different simulation conditions, the performance of Rake receiver using the equal gain, maximum ratio or NN-based combination technique was simulated separately. Simulation results indicated that the performance of Rake receiver with NN-based combiner is slightly better than that of conventional Rake receiver in ideal channel but obviously better in complicated channel environment.

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