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Performance Improvement of a Variability-index CFAR Detector for Heterogeneous Environment  

Shin, Jong-Woo (School of Electrical Engineering, Pusan National University)
Kim, Wan-Jin (Agency for Defense Development)
Do, Dae-Won (Agency for Defense Development)
Lee, Dong-Hun (Agency for Defense Development)
Kim, Hyoung-Nam (School of Electrical Engineering, Pusan National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.49, no.3, 2012 , pp. 37-46 More about this Journal
Abstract
In RADAR and SONAR detection systems, noise environment can be classified into homogeneous and heterogeneous environment. Especially heterogeneous environments are modelled as target masking and clutter edge. Since the variability-index (VI) CFAR, a composed CFAR algorithm, dynamically selects one of the mean-level algorithms based on the VI and the MR (mean ratio) test, it is robust to various environments. However, the VI CFAR still suffers from lowered detection probabilities in heterogeneous environments. To overcome these problems, we propose an improved VI CFAR processor where TM (trimmed mean) CFAR and a sub-windowing technique are introduced to minimize the degradation of the detection probabilities appeared in heterogeneous environments. Computer simulation results show that the proposed method has the better performance in terms of detection probability and false alarm probability compared to the VI CFAR and single CFAR algorithms.
Keywords
CFAR; variability index;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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