Improvement of Performance Analysis of Amplitude-Comparison Monopulse Algorithm in the Presence of an Additive Noise

Hyeong-Woo Ham,Joon-Ho Lee

doi:10.3390/electronics10212649

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 based on the first-order Taylor series and the second-order Taylor series.

Highlights

A radar measures the distance, direction, and speed information of a target using electromagnetic waves and can perform search and tracking functions
It is verified that the accuracy is improved through a performance comparison with the analytic mean square error (MSE) of the first and second-order Taylor approximations conducted in the previous study
In order to judge the reliability of the Amplitudecomparison monopulse radar (ACM)’s angle estimation ability in an environment where various noises are given, we focus on accurately calculating the MSE

Summary

Introduction

A radar measures the distance, direction, and speed information of a target using electromagnetic waves and can perform search and tracking functions. The search mode explores a given volume space in the absence of information about the target and detects the target. When a target is detected, the tracking mode is activated. In this case, the target is tracked while measuring states such as distance, angle, and speed. Amplitudecomparison monopulse radar (ACM) is classified as tracking radar, and it is possible to accurately measure the tracking error of a target with only one pulse (monopulse). The monopulse radar-receiving antenna consists of four receiving beam patterns with the same squint angle. The azimuth and elevation tracking error are calculated through the signal amplitude ratio of these channels [1,2,3]

Objectives

Results

Discussion

Conclusion