| Autor: |
Yiǧit, Enes, Tekbaş, Mustafa, Ünal, İlhami, Erdogan, Sercan, Çalışkan, Cafer |
| Přispěvatelé: |
Çalışkan, Cafer |
| Jazyk: |
turečtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| 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. © 2017 IEEE. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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