Open AccessNew Algorithm for Detecting Target on the Clutter Background Using Polarimetric Parameter
Author(s) -
Hung Trong Pham,
Nghia Minh Pham,
Thành Trung Nguyễn
Publication year - 2017
Publication title -
electronics and communication
Language(s) - English
Resource type - Journals
ISSN - 1859-378X
DOI - 10.21553/rev-jec.112
Subject(s) - clutter , constant false alarm rate , polarimetry , algorithm , detection threshold , stationary target indication , false alarm , radar , probability density function , statistical power , computer science , pattern recognition (psychology) , artificial intelligence , mathematics , physics , statistics , continuous wave radar , radar imaging , optics , telecommunications , real time computing , scattering
This paper proposes a new algorithm for detecting radar targets on the clutter background using a nonenergy polarimetry parameter, the ellipticity coefficient. The algorithm ultilises two-level threshold dectector (is used in this algorithm). Probability density function of ellipticity coefficient is calculated for two classes of target: target in clutter and only clutter. The optimum detection threshold is calculated based on the Neyman-Pearson criteria. In this paper, the detection threshold and the probability of detection are calculated based on a given false alarm, different signal to background clutter ratios, and with different polarimetric features of the background clutter. Proposed algorithm shows the efficiency of using ellipticity coefficient in detecting target on the background clutter.