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Adaptive CFAR Algorithm using Two-Dimensional Block Estimation  

Choi Beyung Gwan (Agency for Defense Development)
Lee Min Joon (Agency for Defense Development)
Kim Whan Woo (Division of Electrical and Computer Engineering, Chungnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.1, 2005 , pp. 101-108 More about this Journal
Abstract
Adaptive constant false alarm rate(CFAR) algorithm is used for good detection probability as well as constant false alarm rate in clutter background. Especially, filtering technique adaptive to spatial variation is necessary for improving detection quality in non stationary clutter environment which has spatial correlation and large magnitude deviation. In this paper, we propose a two-dimensional block interpolation(TBI) adaptive CFAR algorithm that calculates the node estimate in the fred two dimensional region and subsequently determines the final estimate for each resolution cell by two-dimensional interpolation. The proposed method is efficient for filtering abnormal ejection by adopting distribution median in fixed region and also has advantage of reducing required memory space by using estimation method which gets final values after calculating the block node values. Through simulations, we show that the proposed method is superior to the traditional adaptive CFAR algorithms which are transversal or recursive in aspect of the detection performance and required memory space.
Keywords
Adaptive CFAR; Block interpolation; Non-stationary clutter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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