A Sparse Imaging-based Single Channel Slow-Moving Target Detection Method
| Autor: | Teng Li, Xin Wang, Zhengwei Hou |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
Computer simulation Computer science Estimation theory business.industry 0211 other engineering and technologies 020206 networking & telecommunications 02 engineering and technology Object detection law.invention law Robustness (computer science) Radar imaging 0202 electrical engineering electronic engineering information engineering Clutter Computer vision Artificial intelligence Radar business 021101 geological & geomatics engineering |
| Zdroj: | 2019 IEEE International Conference on Computational Electromagnetics (ICCEM). |
| DOI: | 10.1109/compem.2019.8779073 |
| Popis: | A weak moving target detection and parameter estimation method is proposed in this paper. A joint static scene and mismatched moving target radar projection operator is formulated and applied to separate the clutter data and MT signal. The weak moving target can be detected after clutter suppression and then moving parameter estimation could be employed based on the retrieved phase of moving target signal. Numerical simulation can verify the validity and robustness of the proposed methodology. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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