Title
Novel Fast Coherent Detection Algorithm for Radar Maneuvering Target With Jerk Motion
Abstract
The detection performance of radar maneuvering target with jerk motion is affected by the range migration (RM) and Doppler frequency migration (DFM). To address these problems, a fast algorithm without searching target's motion parameters is proposed. In this algorithm, the second-order keystone transform is first applied to eliminate the quadratic coupling between the range frequency and slow tim...
Year
DOI
Venue
2017
10.1109/JSTARS.2017.2651156
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Acceleration,Object detection,Radar detection,Transforms,Time-frequency analysis,Computational efficiency
Radar,Pulse-Doppler radar,Object detection,Computer vision,Automatic target recognition,Jerk,Algorithm,Fourier transform,Fast Fourier transform,Time–frequency analysis,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
10
5
1939-1404
Citations 
PageRank 
References 
7
0.47
23
Authors
4
Name
Order
Citations
PageRank
Jiancheng Zhang170.81
Tao Su2805.67
Jibin Zheng313112.74
Xuehui He4302.57