A channel shortening technique based on Neural Network with Perceptron Learning Rule for OFDM System in multipath fading channel

in multicarrier systems, channel shortening was designed to compensate inter-symbol and inter-carrier interference due to delay spread channel. This paper suggests a new channel shortening technique based Neural Network with Perceptron learning rule for multicarrier systems in multipath fading channels. simulation and analytical results show the performance of the new technique and compare it to previous channel shortening designs in terms of bit error rate (BER) for a multicarrier system

کلیدواژه ها:

multipath fading channels ، Neural Network ، OFDM ، Perceptron learning rule ، TEQ