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http://dx.doi.org/10.5515/KJKIEES.2019.30.5.365

Target Detection Performance in a Clutter Environment Based on the Generalized Likelihood Ratio Test  

Suh, Jin-Bae (School of Electrnoic Engineering, KAIST)
Chun, Joo-Hwan (School of Electrnoic Engineering, KAIST)
Jung, Ji-Hyun (Hanwha System)
Kim, Jin-Uk (Hanwha System)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.5, 2019 , pp. 365-372 More about this Journal
Abstract
We propose a method to estimate unknown parameters(e.g., target amplitude and clutter parameters) in the generalized likelihood ratio test(GLRT) using maximum likelihood estimation and the Newton-Raphson method. When detecting targets in a clutter environ- ment, it is important to establish a modular model of clutter similar to the actual environment. These correlated clutter models can be generated using spherically invariant random vectors. We obtain the GLRT of the generated clutter model and check its detection probability using estimated parameters.
Keywords
Clutter; Generalized Likelihood Ratio Test; Detection Probability;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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