Smart Leizhong Ji Data Fusion Target Recognition Technology

Smart mine is a kind of new conception weapon under the background of modern war. The thesis emphasizes on improving the veracity and reliability of target identification in smart mine by adopting the multisensors data fusion theory and methods, based on the means of smart mine in existence.The paper constructs the frame and model of applying multisensors data fusion technique in the target identification of smart mine; uses the presented filter in the paper to reduce noise of several kinds of targets' signal in battlefield, and analyses their frequency characteristics; puts forward a formula on the base of distance separability measure for feature selection and gains representative feature parameters of different targets; designs the artificial neural network classifier, and improves the training algorithm; studies the application of distributed statistical decision method in the fusion of multisensor object identification ,and presents the analyzed results; studies the uncertainty reasoning, emphasizing on applying the evidence theory for object identification of smart mine, conducts a great deal of experiments, and achieves good recognition effects.