An Analysis For The Use Of Compressed Sensing Method In Microwave Imaging
| Autor: | Ilhami Unal, Mustafa Tekbas, Cafer Caliskan, Enes Yigit, Sercan Erdogan |
|---|---|
| Přispěvatelé: | Çalışkan, Cafer |
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Computer science 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) 01 natural sciences 010309 optics Microwave imaging Compressed sensing Compression (functional analysis) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Nyquist–Shannon sampling theorem Computer vision Artificial intelligence Telecommunications business |
| Zdroj: | SIU |
| Popis: | One of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without loss of data with a randomly selected subset of the measurement data by compression sensing (CS) method which has been popular in recent years. For this reason, in this study, the use and capabilities of the CS method were investigated for tracking moving human, and the target information was correctly determined for the data obtained much below the Nyquist sampling criterion. In this study, it was revealed that the CS method can be developed for target detection and tracking. |
| Databáze: | OpenAIRE |
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