TY - GEN
T1 - Comparison of CFAR Methods on Multiple Targets in Sea Clutter Using SPX-Radar-Simulator
AU - Sahal, Mochammad
AU - Said, Zaidan Adenin
AU - Putra, Rifky Yulianto
AU - Kadir, Rusdhianto Effendi Abdul
AU - Firmansyah, Adrian Aryaputra
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
KW - CFAR
KW - GOCA-CFAR
KW - OS-CFAR
KW - SOCA-CFAR
UR - http://www.scopus.com/inward/record.url?scp=85091698752&partnerID=8YFLogxK
U2 - 10.1109/ISITIA49792.2020.9163697
DO - 10.1109/ISITIA49792.2020.9163697
M3 - Conference contribution
AN - SCOPUS:85091698752
T3 - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020
SP - 260
EP - 265
BT - Proceedings - 2020 International Seminar on Intelligent Technology and Its Application
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020
Y2 - 22 July 2020 through 23 July 2020
ER -