A Joint Sparse Moving Targets Imaging Method for Bistatic SAR
| Autor: | Zhengwei Hou, Xin Wang, Zhongyan Li |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
Computer science business.industry Doppler radar ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology law.invention Bistatic radar symbols.namesake law Radar imaging Norm (mathematics) 0202 electrical engineering electronic engineering information engineering symbols Clutter 020201 artificial intelligence & image processing Computer vision Artificial intelligence Radar business Doppler effect 021101 geological & geomatics engineering |
| Zdroj: | 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). |
| DOI: | 10.1109/compem.2019.8778881 |
| Popis: | A joint sparse imaging algorithm in bistatic synthetic aperture radar (SAR) for the static and moving targets is proposed in this paper. The imaging processing of mixed received radar data is interpreted as an inversion and separation task, which is the fundamental of the presented algorithm. Radar projection operator of moving targets is constructed and joint iterative sparse imaging processing is then formulated by utilizing a norm constraint and employed on mixed radar data. Due to the differences of doppler characteristic of clutter and moving targets signal, successful separation and inversion of clutter and moving target data could be implemented after joint sparse imaging. Finally, numerical simulation demonstrates the validity of the algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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