Title | ||
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Adaptive Translational Motion Compensation Method for ISAR Imaging Under Low SNR Based on Particle Swarm Optimization |
Abstract | ||
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Under low signal-to-noise ratio (SNR), the performance of conventional envelop-based range alignment methods for inverse synthetic aperture radar (ISAR) imaging degrades, resulting in the following phase adjustment or autofocus inapplicable. In this paper, a novel method for the translational motion compensation of ISAR imaging under low SNR is proposed. Translational motion is first modeled as a ... |
Year | DOI | Venue |
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2015 | 10.1109/JSTARS.2015.2491307 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | DocType | Volume |
Polynomials,Inverse synthetic aperture radar,Radar imaging,Signal to noise ratio,Particle swarm optimization,Motion compensation | Journal | 8 |
Issue | ISSN | Citations |
11 | 1939-1404 | 5 |
PageRank | References | Authors |
0.46 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
lei liu | 1 | 6 | 1.49 |
Feng Zhou | 2 | 2189 | 158.01 |
Mingliang Tao | 3 | 68 | 10.49 |
pange sun | 4 | 5 | 0.46 |
Zi-jing Zhang | 5 | 135 | 15.74 |