A study on the amplitude comparison monopulse algorithm

5Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

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.

References Powered by Scopus

Angle Estimation in Amplitude Comparison Monopulse Systems

80Citations
N/AReaders
Get full text

Detection and Parameter Estimation in an Amplitude-Comparison Monopulse Radar

38Citations
N/AReaders
Get full text

The radar signature in recognition system database

31Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kim, M., Hong, D., & Park, S. (2020). A study on the amplitude comparison monopulse algorithm. Applied Sciences (Switzerland), 10(11). https://doi.org/10.3390/app10113966

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 4

80%

Researcher 1

20%

Readers' Discipline

Tooltip

Engineering 2

50%

Physics and Astronomy 1

25%

Psychology 1

25%

Save time finding and organizing research with Mendeley

Sign up for free