| Autor: |
Adrian Aryaputra Firmansyah, Rifky Yulianto Putra, Rusdhianto Effendi Abdul Kadir, Mochammad Sahal, Zaidan Adenin Said |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 International Seminar on Intelligent Technology and Its Applications (ISITIA). |
| DOI: |
10.1109/isitia49792.2020.9163697 |
| Popis: |
The target detection process in radar involves the process of comparing the received signal with the estimated threshold. This detection process is vital to distinguish between targets or noise. A major challenge in this detection process is not to overflow the radar processor with false alarms. Constant False Alarm Rate (CFAR) is an algorithm that can maintain a false alarms rate. This paper investigates the performance of Cell Averaging CFAR (CA-CFAR), Smallest of Cell Averaging CFAR (SOCA-CFAR), Greatest of Cell Averaging CFAR (GOCA-CFAR), and Order Statistics CFAR (OS-CFAR) algorithm in multiple targets environment in sea clutter simulated on SPX-Radar-Simulator. Their detection performances are evaluated in two aspects: detection rate and processing time. The experiment result for the target detection rate in SPX-Radar-Simulator shows that OS-CFAR is the best method for detecting targets, but the processing time is longer than other methods. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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