Journal article
Segun. Saliu, A. Onumanyi, J. Abolarinwa
2018
2018
Semantic Scholar
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APA
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Saliu, S., Onumanyi, A., & Abolarinwa, J. (2018). Performance Analysis of a Modified Otsu-based Constant False Alarm Rate (CFAR) Algorithm under Varying Signal to Noise Ratio in Radar Systems.
Chicago/Turabian
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Saliu, Segun., A. Onumanyi, and J. Abolarinwa. “Performance Analysis of a Modified Otsu-Based Constant False Alarm Rate (CFAR) Algorithm under Varying Signal to Noise Ratio in Radar Systems” (2018).
MLA
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Saliu, Segun., et al. Performance Analysis of a Modified Otsu-Based Constant False Alarm Rate (CFAR) Algorithm under Varying Signal to Noise Ratio in Radar Systems. 2018.
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@article{segun2018a,
title = {Performance Analysis of a Modified Otsu-based Constant False Alarm Rate (CFAR) Algorithm under Varying Signal to Noise Ratio in Radar Systems},
year = {2018},
author = {Saliu, Segun. and Onumanyi, A. and Abolarinwa, J.}
}
Abstract
The process of developing effective Radar target detection systems depends largely on the improved performance rate of the Constant False Alarm Rate (CFAR) technique deployed within the Radar system. These CFAR techniques typically estimate adaptive threshold values with the aim to maximize the probability of detection while maintaining the desired probability of false alarm. In this paper, we present a modified Otsu based CFAR algorithm that automatically estimates an effective adaptive threshold by processing each data sample within a given reference window for radar target detection. The performance of the proposed algorithm was evaluated using real-life acquired Radar return signals and the results obtained indicate that our algorithm performs similarly to the optimum (cell averaging) CA CFAR detector in a homogeneous environment, while typically outperforming other CFAR algorithms in similar conditions. Keyword— Adaptive, CFAR, Detection Probability, False alarm probability, Modified Otsu algorithm, Radar target, Threshold.
