2021
DOI: 10.3390/electronics10212649
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Improvement of Performance Analysis of Amplitude-Comparison Monopulse Algorithm in the Presence of an Additive Noise

Abstract: In this paper, it is shown how the performance of the monopulse algorithm in the presence of an additive noise can be obtained analytically. In a previous study, analytic performance analysis based on the first-order Taylor series and the second-order Taylor series was conducted. By adopting the third-order Taylor series, it is shown that the analytic performance based on the third-order Taylor series can be brought closer to the performance of the original monopulse algorithm than the analytic performance bas… Show more

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Cited by 3 publications
(3 citation statements)
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References 9 publications
(28 reference statements)
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“…Monopulse antenna technology can be employed to obtain the position and angle of a target using a single pulse. There have been many research efforts on the subject of accurate target or signal angle estimation using monopulse techniques, which can be called "the monopulse theory" [1][2][3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Monopulse antenna technology can be employed to obtain the position and angle of a target using a single pulse. There have been many research efforts on the subject of accurate target or signal angle estimation using monopulse techniques, which can be called "the monopulse theory" [1][2][3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies [14,15], the MSE of the ACM direction-of-arrival (DOA) estimated angle was expressed as an analytic expression using the Taylor approximation and was compared with the Monte Carlo method. The analytical expressions proposed in [14,15] are highly computationally efficient.…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies [14,15], the MSE of the ACM direction-of-arrival (DOA) estimated angle was expressed as an analytic expression using the Taylor approximation and was compared with the Monte Carlo method. The analytical expressions proposed in [14,15] are highly computationally efficient. The final expressions quantifying the MSE of the monopulse algorithm in the previous studies are very long and complicated and are not intuitive.…”
Section: Introductionmentioning
confidence: 99%