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Inicio  /  Applied Sciences  /  Vol: 10 Par: 11 (2020)  /  Artículo
ARTÍCULO
TITULO

A Study on the Amplitude Comparison Monopulse Algorithm

Minjeong Kim    
Daseon Hong and Sungsu Park    

Resumen

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.

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