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http://dx.doi.org/10.14400/JDC.2021.19.12.339

Numerical Integration-based Performance Analysis of Amplitude-Comparison Monopulse System  

Ham, Hyeong-Woo (Department of Information and Communication Engineering, Sejong University)
Lim, Hee-Yun (Electrical Engineering, Sejong University)
Lee, Joon-Ho (Department of Information and Communication Engineering, Sejong University)
Publication Information
Journal of Digital Convergence / v.19, no.12, 2021 , pp. 339-345 More about this Journal
Abstract
In this paper, estimation angle performance analysis of amplitude-comparison monopulse radar under additive noise effect is dealt with. When uncorrelated white noises are added to the squinted beams, the angle estimation performance is analyzed through the mean square error(MSE). The numerical integration-based mean square error result completely overlaps the Monte Carlo-based mean square error result, which corresponds to 99.8% of the Monte Carlo-based mean square error result. In addition, the mean square error analysis method based on numerical integration has a much faster operation time than the mean square error method based on Monte Carlo. the angle estimation performance of the amplitude comparison monopulse radar can be efficiently analyzed in various noise environments through the proposed numerical integration-based mean square error method.
Keywords
tracking radar; amplitude-comparison monopulse radar; mean square error(MSE); numerical analysis; Monte-Carlo method;
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  • Reference
1 M.A. Richards, J.A. Scheer, & W.a. Holm. (2008). Principles of modern radar basic principles. SciTech Publishing Inc, vol. 1.
2 D.R. Rhodes. (1980). Introduction to monopulse. Artech House.
3 A.I. Leonov & K.I. Fomichev. (1986). Monopulse radar. Artech House.
4 Jerry L. Eaves & Edword K. Reedy. (1987). Principles of modern radar. Chapman and Hall.
5 D.J. An & J.H. Lee. (2020). Performance analysis of amplitude comparison monopulse direction-of-arrival estimation. Applied Sciences, vol. 10, no. 4.
6 Y. J. Han, J.W. Kim, S. R. Park & S.U. Noh, (2017). An investigation into the monopulse radar using tx-rx simulator in electronic warfare settings. Proceedings of Symposium of the Korean Institute of Communications and Information Sciences, pp. 705-706.
7 Samuel M. Sherman & Daivd K. Barton. (1984) Monopulse principles and techniques. Artech House.
8 Bassem R. Mahafza. (2013). Radar systems analysis and design using MATLAB third edition. Chapman and Hall.
9 D.J. An & J.H. Lee. (2018). Performance of amplitude-comparison monopulse radar. The Journal of Korean Institute of Electromagnetic Engineering and Science, 29(12), pp. 969-975.   DOI
10 Roy D. Yates & David J. Goodman. (2014). "Probability and Stochastic Processes third edition," Wiley.
11 Mean squared error. Wikipedia. https://en.wikipedia.org/wiki/Mean_squared_error
12 S.R. Park, I.K. Nam, & S.U. Noh. (2018). Modeling and simulation for the investigation of radar responses to electronic attacks in electronic warfare environments. Security and Communication Networks, vol. 2018, Article ID 3580536.
13 Normal distribution. Wikipedia. https://en.wikipedia.org/wiki/Normal-distribution.