Robust Clutter Suppression and Ground Moving Target Imaging Method for a Multichannel SAR with High-Squint Angle Mounted on Hypersonic Vehicle
| Autor: | Tat Soon Yeo, Jiusheng Han, Yunhe Cao, Fengfei Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Synthetic aperture radar
Matching (graph theory) chirp Fourier transform (CFT) Computer science Science 0211 other engineering and technologies hypersonic vehicle (HSV) 02 engineering and technology symbols.namesake 0202 electrical engineering electronic engineering information engineering Range (statistics) Chirp Computer vision ground moving target (GMT) 021101 geological & geomatics engineering Estimation theory business.industry 020206 networking & telecommunications synthetic aperture radar (SAR) clutter suppression Fourier transform parameter estimation symbols General Earth and Planetary Sciences Clutter Artificial intelligence business Doppler effect |
| Zdroj: | Remote Sensing, Vol 13, Iss 2051, p 2051 (2021) Remote Sensing; Volume 13; Issue 11; Pages: 2051 |
| ISSN: | 2072-4292 |
| Popis: | This paper investigates a robust clutter suppression and detection of ground moving target (GMT) imaging method for a multichannel synthetic aperture radar (MC-SAR) with high-squint angle mounted on hypersonic vehicle (HSV). A modified coarse-focused method with cubic chirp Fourier transform (CFT) is explored first that permits the coarsely focused imageries to be recovered, thus alleviated the impacts of GMT Doppler ambiguity and range cell migration (RCM). After that, in combination with joint-pixel model, a robust clutter suppression method which enhances the GMT integration, and improving the accuracy of radial speed (RS) recovery by modifying the matching between the beamformer center and GMT, is proposed. Due to that the first-order phase compensation and RS retrieval are predigested, the proposed algorithm has lower the algorithmic complexity. Finally, the feasibility of our proposed method are verified via experimental results based on simulated and real measured data. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|