Forward-Looking Scanning Radar Superresolution Imaging Based on Second-Order Accelerated Iterative Shrinkage-Thresholding Algorithm
| Autor: | Meihua Niu, Jianyu Yang, Yulin Huang, Wenchao Li, Yongchao Zhang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Atmospheric Science
Computer science Geophysics. Cosmic physics 0211 other engineering and technologies 02 engineering and technology law.invention law Convergence (routing) 0202 electrical engineering electronic engineering information engineering Slow convergence Computers in Earth Sciences Radar TC1501-1800 021101 geological & geomatics engineering Accelerated imaging QC801-809 scanning radar Order (ring theory) 020206 networking & telecommunications Resolution (logic) Superresolution Ocean engineering Azimuth slow convergence iterative shrinkage-thresholding algorithm (ISTA) Antenna (radio) azimuth resolution Algorithm |
| Zdroj: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 620-631 (2020) |
| ISSN: | 2151-1535 1939-1404 |
| DOI: | 10.1109/jstars.2020.2964589 |
| Popis: | Scanning radar can be used to obtain images of targets in forward-looking area, and has attracted much attention in many fields, such as ocean monitoring, air-to-ground attack, navigation, and so on. However, its azimuth resolution is extremely poor due to the limitation of the antenna size. In order to break through the limitation, many superresolution algorithms have been proposed, and iterative shrinkage-thresholding algorithm (ISTA) is one of the most famous methods because of its antinoise ability and simplicity. In the meantime, the slow convergence of iterative shrinkage-thresholding algorithm is also known to all. In this article, a second-order accelerated ISTA for scanning radar forward-looking superresolution imaging is proposed. In this algorithm, a prediction vector is constructed before each iteration by using the first and the second-order difference information of iteration vectors to reduce the number of iterations and get a faster convergence speed. In the end, simulations and experimental results are given to illustrate the effectiveness of the accelerated imaging algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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