Algebraic iterative wideband radar imaging algorithm to identify rapidly rotating parts on aerial targets
| Autor: | Hua Zhao, Junhai Guo, Yuming Hua |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Synthetic aperture radar
Computer science business.industry Iterative method Pulse-Doppler radar ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Side looking airborne radar Continuous-wave radar Inverse synthetic aperture radar Radar engineering details Radar imaging Computer vision Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | IET Radar, Sonar & Navigation. 9:1162-1170 |
| ISSN: | 1751-8792 |
| Popis: | Inverse synthetic aperture radar (ISAR) imaging plays an important role in aerial target identification. However, traditional ISAR methods are based on rigid body dynamics, which cannot depict micro-moving parts, such as the rotating propellers of an aircraft. In this study, a novel wideband radar imaging algorithm is proposed to identify rapidly rotating objects. The proposed algorithm contains two key steps: the first involves the establishment of the algebraic equations based on the high-resolution range profile series. The second step consists of a solution for these equations, for which the authors provide the steepest descent iterative method as well as several improvements to enhance imaging quality. A few necessary preprocesses and potential challenging scenarios are also considered. The results are used from simulations and field data to exhibit the effectiveness and advantages of the proposed algorithm. |
| Databáze: | OpenAIRE |
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