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Article

A Study on the Amplitude Comparison Monopulse Algorithm

Department of Aerospace Engineering, Sejong University, Seoul 05006, Korea
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Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(11), 3966; https://doi.org/10.3390/app10113966
Received: 28 April 2020 / Revised: 3 June 2020 / Accepted: 4 June 2020 / Published: 7 June 2020
(This article belongs to the Special Issue Recent Advances in Electronic Warfare Networks and Scenarios)
This paper presents two amplitude comparison monopulse algorithms and their covariance prediction equation. The proposed algorithms are based on the iterated least-squares estimation method and include the conventional monopulse algorithm as a special case. The proposed covariance equation is simple but predicts RMS errors very accurately. This equation quantitatively states estimation accuracy in terms of major parameters of amplitude comparison monopulse radar, and is also applicable to the conventional monopulse algorithm. The proposed algorithms and covariance prediction equations are validated by the numerical simulations with 100,000 Monte Carlo runs. View Full-Text
Keywords: monopulse radar; amplitude comparison; covariance prediction; least-squares estimation; performance analysis monopulse radar; amplitude comparison; covariance prediction; least-squares estimation; performance analysis
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MDPI and ACS Style

Kim, M.; Hong, D.; Park, S. A Study on the Amplitude Comparison Monopulse Algorithm. Appl. Sci. 2020, 10, 3966. https://doi.org/10.3390/app10113966

AMA Style

Kim M, Hong D, Park S. A Study on the Amplitude Comparison Monopulse Algorithm. Applied Sciences. 2020; 10(11):3966. https://doi.org/10.3390/app10113966

Chicago/Turabian Style

Kim, Minjeong; Hong, Daseon; Park, Sungsu. 2020. "A Study on the Amplitude Comparison Monopulse Algorithm" Appl. Sci. 10, no. 11: 3966. https://doi.org/10.3390/app10113966

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