基于相位相关的部分可辨编队精细起始算法

doi:10.7527/S1000-6893.2016.0163

Abstract

Abstract:

To deal with the problem of refined initiation in partly resolvable condition, a refined track initiation algorithm based on phase correlation is proposed in this paper. The radar measurements are preprocessed by using fast group segmentation based on coordinate mapping distance difference and pre-association based on group center point. To solve the problem of group topology alignment in low target detection probability condition, the phase correlation characteristics in image matching are then used in compensation and alignment of topological structure between adjacent times. Combined with the nearest neighbor method, a method by using virtual measurement and posterior decision is proposed to associate the group track refinedly, which can fill the missing tracks, add more correct ones, and at the same time suppress the false ones. The simulation results show that compared with the modified logic method and refined gray track initiation algorithm, the algorithm proposed has better performance in correct track initiation rate and suppression of false track, being robust to environment clutter and radar accuracy and more adaptable to target discovery probability.

Key words: partly resolvable, track initiation, group target, phase correlation, image matching

CLC Number:

V243.2
TN953

WANG Cong, WANG Haipeng, XIONG Wei, HE You. Refined track initiation algorithm for partly resolvable group targets based on phase correlation[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(4): 320299-320299.

References

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Refined track initiation algorithm for partly resolvable group targets based on phase correlation

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