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http://dx.doi.org/10.5515/KJKIEES.2014.25.3.372

Fast Monopulse Method Using Noise-Jamming Subspace  

Lim, Jong-Hwan (Hanwha Corporation Defence R&D Center)
Kim, Jae-Hak (Department of Defense Acquisition Program, Kwangwoon University)
Yang, Hoon-Gee (Department of Electronics Convergence Engineering, Kwangwoon University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.25, no.3, 2014 , pp. 372-375 More about this Journal
Abstract
A monopulse based on maximum likelihood(ML) in jamming scenario can suppress jamming signal using an inverse matrix of a covariance matrix. In order to achieve adequate suppression of jamming signal, the sufficient number of snapshots is required. However, this is not possible in high PRF scenario, which hinders a real-time tracking. Moreover, even with the large number of snapshots, the estimation accuracy of the target direction is decreased in low JNR(Jammer to Noise Ratio) due to insufficient jammer suppression. In this paper, we propose a monopulse algorithm that doesn't degrade performance significantly with a small number of snapshots and in low JNR. We show its derivation that exploits noise-jammer subspace of a covariance matrix, along with its performance through simulation.
Keywords
Monopulse; Maximum Likelihood; Covariance Matrix; Jammer; Noise Subspace;
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  • Reference
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