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Tracking Model for Near Space Hypersonic Gliding Missile
YU Chen-long, TAN Xian-si, WANG Hong, QU Zhi-guo, XIE Fei
Modern Defense Technology 2018, 46 (
4
): 99-106. DOI: 10.3969/j.issn.1009-086x.2018.04.016
Abstract
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332
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To improve the tracking accuracy of the hypersonic gliding target in the near space, a novel maneuvering model is established based on the change rule of flight path angle. In order to estimate the position and velocity of the target in the radar measurement coordinate system, the angle of the target's trajectory profile is analyzed. Because of the similar change rule between the change rate of flight path angle and that of the inclination angle, it is proposed to use the inclination angle instead of the flight path angle for establishing the maneuvering model. The change rate of inclination angle is described as a zero mean sinusoidal autocorrelation stochastic process and a Markov model is established. The angular relationship is mapped to the positional dimension for establishing a spatial model. To make the system state model linear, the model is divided into the front-end angle sub-filter and the back-end position sub-filter, and the angle sub-filter drives the position sub-filter for tracking. The parameters of the model are set through simulation. The experimental results show that the model has better tracking accuracy.
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Track Initiation Method for Slow and Small Target Based on Image Processing Hough Transform
ZHU Yuan-cai, WANG Hong, QU Zhi-guo, DUAN Yi, LIU Guo-qing
Modern Defense Technology 2018, 46 (
1
): 156-161. DOI: 10.3969/j.issn.1009-086x.2018.01.025
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234
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Aiming at the problem that the traditional algorithm cannot initiate the slow and small target (SST) track effectively, a track initiation method for SST based on image processing Hough transform is proposed. The parameters of the minimum circumscribed rectangle, consisting of
F
3
,
F
2
and
F
1
, are introduced as the weighting factors of Hough transform, and these parameters are extracted in accumulation region by image marking technique. SST is successfully obtained by controlling the weighting factor of Hough transform, which improves the detection performance of the radar to the SST. Simulation results verify the effectiveness of the proposed algorithm.
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