Wideband Wireless Transmitter Identification Based on Hammerstein-Wiener Model

In recent years, the identification of the same-model wideband wireless transmitter manufactured by a same manufacturer has emerged as a big challenge. In this paper, a model-based approach is proposed for the identification of the same type wideband wireless transmitter. A Hammerstein-Wiener model is adopted for modeling the wideband wireless transmitter and an improved genetic algorithm is proposed for identifying the model. The estimated model parameters are taken as a feature vector for the identification of the wideband wireless transmitter. The simulation results verify the effectiveness of the proposed method. Moreover, the improved genetic algorithm achieves better estimation precision and higher identification rate than the basic genetic algorithm, the classic least squares iteration method, the AWPSO and the neural network algorithm.