| Citation: | XU Dan, TIAN Bo, FENG Cunqian, et al. Space position reconstruction of ballistic target based on adaptive fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(6): 1216-1223. doi: 10.13700/j.bh.1001-5965.2016.0463(in Chinese)
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Aimed at the problem that signal radar extracts parameters difficultly and has higher error in estimating parameters due to coupling of precession cone target parameters, a novel algorithm based on uniting the multi-aspect micro-motion information is proposed for parameter extraction and fusion. First, cone-shaped precession model are established and scattering points profile sequence are analyzed. After that, different-aspect conic node scattering point is matched and identified using Hough transform. Then, the micro-motion information of two radars is united as one solving unit to solve the coupling parameters, and other parameters also can be solved. Moreover, precession angle is taken as an example to analyze the variance of error, and each unit is fused by the weighed fusion array based on minimum variance. And other parameters are optimized in the same way. Finally, in one precession period, cone target space position can be reconstructed based on solving the coordinates of conic node and coning vector. Simulation results prove that the proposed method can realize the extraction of high accuracy parameters and cone's reconstruction availably.
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