A novel method for radar pulse tracking using neural networks

Within restricted response time, in order to track pulse trains of radar and predict the next pulse time, we propose the neural network with dynamic structure. This dynamic structure consists of basic structures. And it is a variable structure in that the basic structures are added to the previous structure as input signal is received more. This structure is applicable to the case that has noise pulses, missing pulses and requires rapid response time. In this study, we apply the proposed neural network to predict a radar pulses with a nonlinear characteristics and test it for 4 level stagger, patterned signal with sinusoidal type.