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Implementation of Radar Environment Classifier for Adaptive Target Detection  

Choi, Beyimg-Gwan (Agency for Defense Development)
Choi, In-Sik (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.5, 2005 , pp. 157-164 More about this Journal
Abstract
The conventional adaptive detectors can not maintain sufficient detection performance at the presence of non-stationary clutter with unknown characteristics. This is caused by the lack of a priori information about clutter parameters changing over radar coordinates. To solve this problem, it is necessary to use clutter classifiers which have functions, such as the selection of the applied algorithm and its parameters extraction according to clutter conditions. In this paper, we describe the implementation of a clutter environment classifier for adaptive processing. In the environment classifier implemented on Visual C++, the extraction of the parameters and selection of processing algorithm for the adaptive processing unit are possible, and the result of algorithms can be verified at each stage.
Keywords
adaptive detector; clutter classifier; non-stationary clutter;
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Times Cited By KSCI : 1  (Citation Analysis)
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