World Academy of Science, Engineering and Technology
Published February 22, 2009 | Version 12299
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A Compact Pi Network for Reducing Bit Error Rate in Dispersive FIR Channel Noise Model

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During signal transmission, the combined effect of the transmitter filter, the transmission medium, and additive white Gaussian noise (AWGN) are included in the channel which distort and add noise to the signal. This causes the well defined signal constellation to spread causing errors in bit detection. A compact pi neural network with minimum number of nodes is proposed. The replacement of summation at each node by multiplication results in more powerful mapping. The resultant pi network is tested on six different channels.

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References

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