MLP neural network based adaptive UWB modulation scheme recognition algorithm

An artificial neural network based adaptive UWB modulation scheme recognition algorithm is proposed.A three- layer MLP neural network is designed to obtain the recognition task.The statistical characterization parameters of the UWB signal are extracted as the input neuron parameters of the input layer,and the hidden layer of the MLP network has two lay- ers.Experiments show that the MLP network with tansigmoidal neurons in the hidden laver and with linear neurons in the output layer can achieve good recognition performance.The probahilily of the correct recognition of the MLP network with proper transfer functions is higher than 95% at 5 dB SNR condition.Compared with the traditional pattern recognition and statistics judgment algorithms,the MLP recognizer can achieve higher correct recognition prohability and can classify the modulation scheme automatically without setting the judgment circumscriptions.The method may be widely nsed in the de- sign of adaptive coding UWB systems.