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http://dx.doi.org/10.5515/KJKIEES.2012.23.6.748

Linear Region Extension of MR Curve in ML Based Monopulse  

Kim, Heung-Su (Department of Electronics Convergence Engineering, Kwangwoon University)
Lim, Jong-Hwan (Department of Electronics Convergence Engineering, Kwangwoon University)
Yang, Hoon-Gee (Department of Electronics Convergence Engineering, Kwangwoon University)
Chung, Young-Seek (Department of Electronics Convergence Engineering, Kwangwoon University)
Kim, Doo-Soo (Agency for Defense Development)
Lee, Hee-Young (Agency for Defense Development)
Kim, Seon-Joo (Agency for Defense Development)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.23, no.6, 2012 , pp. 748-751 More about this Journal
Abstract
The performance of a monopulse estimator is depend on its monopulse ratio(MR) curve. To improve its performance, a mathematical expression of the MR curve that is associated with an array the parameters is needed. In this paper, we present a novel monopulse estimator that uses the inverse function of a MR curve for the Maximum Likelihood (ML)-based monopulse estimator. It is shown that the proposed method can extend the linear region of the MR curve, which in turn improve the estimation accuracy. Moreover, it's performance is compared with the ML-based method through simulation.
Keywords
Monopulse Ratio Curve; Maximum-Likelihood; Inversed Function; Planar array;
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