临近空间伴有尾流高超声速目标检测定位算法

doi:10.7527/S1000-6893.2021.25255

Abstract

Abstract: The Radar Cross Sectional (RCS) area of hypersonic targets in near space increases suddenly due to the generation of wakes. To solve the problem of target detection and body positioning in this state, a truncated cone model is first proposed to simulate the distribution range of multiple scattering points in the wake. The body and wake measurement points are selected by density peak clustering. Then, a modified Hough transform is used to filter the target track, position the body according to the mathematical relationship between the coordinates of the moving target, and finally output the result. The simulation results show that the algorithm maintains a detection probability of nearly 90% for each of the two targets with different wake lengths and a detection probability of nearly 80% for the both of the each of the two targets, and the detection probability does not change greatly with the changes of RCS, wake length and signal-to-clutter ratio, demonstrating certain application prospects.

Key words: near space, hypersonic target, truncated cone model, density peak clustering, Hough transform, extended scatter point

CLC Number:

V243.2
TN597

BO Juntian, WANG Guohong, YU Hongbo, ZHANG Xiangyu. Algorithm for detecting and positioning hypersonic targets with wakes in near space[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2022, 43(5): 325255-325255.

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Algorithm for detecting and positioning hypersonic targets with wakes in near space

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