A Minimum-Energy-Based Algorithm for Multichannel Reconstruction
For the azimuth multichannel synthetic aperture radar (SAR), nonuniform sampling is common since the pulse-repetition frequency cannot be selected arbitrarily, which leads to the contradiction between ambiguity and noise suppression in the azimuth signal reconstruction. This letter constructs a nove...
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| Published in | IEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Online Access | Get full text |
| ISSN | 1545-598X 1558-0571 |
| DOI | 10.1109/LGRS.2020.3017285 |
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| Abstract | For the azimuth multichannel synthetic aperture radar (SAR), nonuniform sampling is common since the pulse-repetition frequency cannot be selected arbitrarily, which leads to the contradiction between ambiguity and noise suppression in the azimuth signal reconstruction. This letter constructs a novel multichannel signal model by taking the coherence among different Doppler bins into account and proposes a minimum-energy-based multichannel reconstruction algorithm, which can obtain the unambiguous signal spectrum without increasing noise in the nonuniform sampling cases. By comparing the simulation results formed by digital beamforming (DBF), improved DBF (IDBF), and space-time adaptive processing (STAP) algorithms, the proposed algorithm shows better performance in balancing ambiguity and noise. |
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| AbstractList | For the azimuth multichannel synthetic aperture radar (SAR), nonuniform sampling is common since the pulse-repetition frequency cannot be selected arbitrarily, which leads to the contradiction between ambiguity and noise suppression in the azimuth signal reconstruction. This letter constructs a novel multichannel signal model by taking the coherence among different Doppler bins into account and proposes a minimum-energy-based multichannel reconstruction algorithm, which can obtain the unambiguous signal spectrum without increasing noise in the nonuniform sampling cases. By comparing the simulation results formed by digital beamforming (DBF), improved DBF (IDBF), and space-time adaptive processing (STAP) algorithms, the proposed algorithm shows better performance in balancing ambiguity and noise. |
| Author | Li, Chun-Sheng Sun, Liwei Yu, Ze |
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| Cites_doi | 10.1109/JSTARS.2016.2618518 10.1109/TGRS.2015.2476496 10.1109/29.32281 10.1109/TGRS.2013.2294940 10.1109/TAES.2006.1642562 10.1109/TGRS.2012.2201947 10.1109/LGRS.2004.840610 |
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| SubjectTerms | Adaptive algorithms Algorithms Ambiguity Azimuth Azimuth multichannel Beamforming Coherence Doppler effect Doppler sonar minimum-energy criterion Noise Noise reduction Nonuniform sampling Pulse repetition frequency Reconstruction algorithms Sampling SAR (radar) Signal reconstruction Signal to noise ratio Synthetic aperture radar |
| Title | A Minimum-Energy-Based Algorithm for Multichannel Reconstruction |
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