Name
Abstract | ||
|---|---|---|
The theoretical modeling and analysis of synthetic aperture radar (SAR) location error play an important role in SAR system design and error source budget. The existing SAR geolocation error models are mainly implicit, which are not easy to do analysis, especially in the curved-path case. In this paper, a theoretical explicit model of the relationship between image geolocation error and the path measurement error is established for curved-path SAR, based on back projection imaging algorithm. The simulations of multiple sets of parameters verify the correctness of the proposed model. The explicit model and the analysis results provide an effective reference for understanding and budgeting the system-level geometric location error for curved-path SAR, such as geosynchronous orbit synthetic aperture radar. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2897361 | IEEE ACCESS |
Keywords | DocType | Volume |
BP imaging,curved-path SAR,geolocation error analysis,GeoSAR | Journal | 7 |
ISSN | Citations | PageRank |
2169-3536 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junbin Liu | 1 | 0 | 0.34 |
| Xiaolan Qiu | 2 | 0 | 1.01 |
| Lijia Huang | 3 | 31 | 6.40 |
| Chi-biao Ding | 4 | 16 | 6.83 |
| Ming Liu | 5 | 276 | 50.00 |