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Content Provider | IET Digital Library |
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Author | Zhou, Yang Bi, Daping Wang, Xiaoping Wang, Shuliang Shen, Aiguo |
Abstract | This study proposes a detection algorithm for a three-channel SAR system with weak ground moving target (GMT)-detection and focusing imaging under strong noise background. First, the authors use DPCA cancellation technology to eliminate ground clutter signals. By accumulating the DPCA signal amplitude in the azimuth direction and setting a suitable threshold, they realise GMT detection under strong noise background. After extracting the target range cell DPCA signal, they use the interference processing method to estimate the real-azimuth position of GMT. Then, they perform fractional Fourier transform processing on the extracted DPCA signal. Through the two-dimensional search of the peak point on the α , u plane of the parameter, the Doppler parameters and velocity estimation of the GMT are obtained. Finally, the azimuth-matching filter is modified to achieve focusing imaging. Simulation results show that the detection probability of GMT is >95% when SNR ≥ − 27 dB . When SNR = − 27 dB , the authors can achieve fairly accurate parameter estimation of GMT and ideal focusing imaging. |
Starting Page | 6394 |
Ending Page | 6399 |
Page Count | 6 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0316 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-05-30 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Azimuth-matching Filter Detection Algorithm Detection Probability Doppler Parameter Doppler Radar DPCA Cancellation Technology DPCA Signal Amplitude Electromagnetic Compatibility Filtering Method in Signal Processing Fourier Transforms Fractional Fourier Transform Processing GMT Detection Ground Clutter Signal Elimination Ground Moving Target-detection Ideal Focusing Imaging Integral Transforms Interference Interference Processing Method Matched Filter Object Detection Optical, Image And Video Signal Processing Parameter Estimation Probability Radar Clutter Radar Detection Radar Equipment Radar Imaging Real-azimuth Position Estimation Statistics Strong Noise Background Synthetic Aperture Radar System And Application Target Range Cell DPCA Signal Extraction Three-channel SAR System Two-dimensional Search Velocity Estimation |
Content Type | Text |
Resource Type | Article |
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