Title :
Maximum likelihood estimation of target RCS in tracking
Author :
Jung, Young-Hun ; Hong, Sun-Mog ; Seo, Sang-Hong
Author_Institution :
Agency for Defense Dev., Daejeon, South Korea
Abstract :
In this paper, a maximum likelihood (ML) approach is presented for estimating the average radar cross section (RCS), and a numerical solution to the approach is proposed based on a generalized expectation maximization (GEM) algorithm. Estimation accuracy of the approach is compared to that of a previously reported procedure.
Keywords :
expectation-maximisation algorithm; maximum likelihood estimation; radar cross-sections; radar tracking; target tracking; Maximum Likelihood Estimation; expectation maximization algorithm; radar cross section; target RCS; target tracking; Maximum likelihood detection; Maximum likelihood estimation; Radar cross section; Radar tracking; Signal to noise ratio; Target tracking; maximum likelihood estimation; radar cross section; radar tracking;
Conference_Titel :
SICE Annual Conference 2010, Proceedings of
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-7642-8
