Abstract
This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.
Original language | English |
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Title of host publication | 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings |
Volume | 2 |
Edition | 1 |
DOIs | |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States Duration: 6 Jul 2008 → 11 Jul 2008 |
Conference
Conference | 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings |
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Country/Territory | United States |
City | Boston, MA |
Period | 6/07/08 → 11/07/08 |
Keywords
- Compressibility
- Compressive sensing
- Matched filter
- Matching pursuit
- Radar imaging
- Sparseness