Adaptive pulse shaped CP-OFDM for remote sensing satellites

This paper studies the feasibility of using adaptive pulse shaping CP-OFDM in remote sensing satellites. A set of pulse shapes were generated using genetic algorithm that minimizes the mean square error of the timing offset estimator. These pulse shapes were used to train function approximation neural networks. Such neural networks make the use of adaptive pulse shaping in OFDM systems feasible. Results from neural networks simulation, which have shown the ability of neural networks to fulfill such function for a two ray model channels, are presented.