An Accurate Motion Compensation for SAR Imagery based on INS/GPS with Dual-filter Correction
| Autor: | Linzhouting Chen, Zhanchao Liu, Jiancheng Fang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Synthetic aperture radar
Motion compensation Computer science business.industry 0211 other engineering and technologies 020206 networking & telecommunications Ocean Engineering 02 engineering and technology Filter (signal processing) Oceanography Azimuth Noise Approximation error 0202 electrical engineering electronic engineering information engineering Global Positioning System Computer vision Artificial intelligence skin and connective tissue diseases business Inertial navigation system 021101 geological & geomatics engineering |
| Zdroj: | Journal of Navigation. 72:1399-1416 |
| ISSN: | 1469-7785 0373-4633 |
| Popis: | Current Motion Compensation (MOCO) methods using Inertial Navigation System (INS)/Global Positioning System (GPS) integrated systems have provided an important advance in Synthetic Aperture Radar (SAR) imagery, but most of these methods only work well over a short imaging period. With the development of high-resolution SAR that provides image gathering over long periods, the need for higher levels of INS/GPS performance than normally available is desired. The higher requirement of INS/GPS for SAR MOCO is two-fold: (1) the accurate knowledge of location information, and (2) the smoothness of relative change in navigation error. In this paper, we design an INS/GPS architecture with dual-filter correction to obtain accurate absolute velocity and position measurement information with smooth low relative error noise over a long image gathering period. Real SAR data experimental results show that the proposed method effectively improves the MOCO performance of INS/GPS with long SAR imaging periods, in which the SAR azimuth resolution reaches 1·45 m, which is very close to the design value of 1 m. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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