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Hypersonic Target Detection and Correlation Algorithm under the Condition of Large Time-Space Difference
BO Jun-tian, WANG Guo-hong, YU Hong-bo, ZHANG Jing-yan
Modern Defense Technology    2021, 49 (5): 56-64.   DOI: 10.3969/j.issn.1009-086x.2021.05.008
Abstract603)      PDF (5173KB)(333)       Save
Aiming at the problem that the trajectory of hypersonic targets in near space is interrupted due to the plasma sheath,a target trajectory detection and correlation algorithm under the condition of large time-space difference is proposed in the three-dimensional space.Multiple measurement points are transformed into the radial distance-time plane through Hough transform for non-coherent accumulation,and a low threshold is set to extract sub-tracks.According to the multi-information fusion of the time,speed,and azimuth between the sub-tracks,the sub-tracks belonging to the same real track are associated and the final track is output.The simulation results show that the algorithm has the ability of detection and correlation for multiple hypersonic targets interrupted track,which is of certain engineering practical significance.
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Coherent Integration Algorithm for Moving Targets with Variable Acceleration
XIN Ting-ting, WANG Guo-hong, ZHANG Liang, ZHANG Xiang-yu
Modern Defense Technology    2020, 48 (2): 60-68.   DOI: 10.3969/j.issn.1009-086x.2020.02.011
Abstract244)      PDF (5940KB)(852)       Save
In order to solve the problem that energy accumulation cannot be realized effectively due to several kinds of range migration and Doppler migration of high-speed maneuvering target,a coherent accumulation algorithm for moving target with variable acceleration was proposed,which did not need to search parameters. Firstly, made a sequence reversing transform along the slow time of pulse compression echo signal in frequency domain and multiplied them with ones untransformed,which could simultaneously correct linear range migration caused by velocity, third-order range migration and Doppler bending caused by acceleration. Secondly, the second-order keystone transform was used to correct the range bending caused by acceleration.Finally, the slow time signal was regarded as a linear frequency modulation signal, and the coherent accumulation was realized with the biothogonal Fourier transform to estimate the chirp rate. The simulation result proves that this method can effectively realize accumulation and multi-target detection, which is superior than other algorithms.
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