Journal of System Simulation
Abstract
Abstract: The pulse compression result will be distorted while the target moves very fast and it cannot get right ISAR images. A novel algorithm based on chirp-Fourier transform was proposed to solve this problem. In the scheme, every echo’s differential frequency signal of stretch processing was calculated by chirp-Fourier transform to estimate the target’s location and speed, and the target’s precious speed could be averaged by the estimations during the whole dwell time. Then the penalty function could be constructed to eliminate the intra and inter-pulse motion, and it could get right ISAR images. Because the chirp-Fourier transform was completed during the pulse repetition period, the algorithm could meet the real-time requirement. Further more the algorithm could simultaneously accomplish moving parameters estimation and imaging. The algorithm has the advantages of simple structure and strong anti-noise ability, so it is easy to implement in Engineering.
Recommended Citation
Luo, Wenmao and Cui, Yingliu
(2020)
"Novel Algorithm of High-Speed Target ISAR Imaging Based on Stretch Method,"
Journal of System Simulation: Vol. 28:
Iss.
4, Article 11.
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss4/11
First Page
851
Revised Date
2015-01-21
DOI Link
https://doi.org/
Last Page
858
CLC
TN9571
Recommended Citation
Luo Wenmao, Cui Yingliu. Novel Algorithm of High-Speed Target ISAR Imaging Based on Stretch Method[J]. Journal of System Simulation, 2016, 28(4): 851-858.
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