Channel estimation based on neural network in space time block coded MIMOOFDM system
In this study, we propose feed-forward multilayered perceptron (MLP) neural network trained with the LevenbergMarquardt algorithm to estimate channel parameters in MIMOOFDM systems. Bit error rate (BER) and mean square error (MSE) performances of least square (LS) and least mean square error (LMS) algorithms are also compared to our proposed neural network to evaluate the performances. Neural network channel estimator has got much better performance than LS and LMS algorithms. Furthermore it doesn?t need channel statistics and sending pilot tones, contrary to classical algorithms.
mimoofdm levenbergmarquardt algorithm feed-forward neural network channel impulse response (cir)