Characterization of Monostatic Radar System for Accuracy Improvement through Parameter Estimation

Ugwu, K. I. C. and Eke, J. and Abonyi, D. O. (2022) Characterization of Monostatic Radar System for Accuracy Improvement through Parameter Estimation. Journal of Engineering Research and Reports, 22 (9). pp. 14-21. ISSN 2582-2926

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Abstract

This paper presents the characteristics of monostatic radar for improving accuracy of detection through determination of the factors that were responsible for power losses in radar signal transmission and interception by targets. These factors were improved upon by looking at some parameter like the antennae gain or transmitter gain, and evaluating the result through Matlab testing of some measured distance values. This was achieved by simulating mathematical radar equations by liu, 2014, of signals transmitted over selected distances say, from 5km to 100km and evaluated the result. These power losses in the transmitted signal which characterize the error in range resolution and target detection of the returned signal in a radar system, were mitigated by increasing the antennae or transmitter gain over long distances in monostatic radar to improve the range and detection capability. The transmitting material effective aperture which forms part of the radar design was also characterized to show its effect in high definition radar development. In the table below, results of matlab simulation of varied target positions were tabulated to show better definition of target ranges over long distances while increasing transmitter gain, and effective aperture of the transmitting material though it was a function of the distance of the receiver from the target. Specific radar design and implementation are basically worked upon through these factors which can aid material selection to forestall errors in radar target detection.

Item Type: Article
Subjects: Archive Paper Guardians > Engineering
Depositing User: Unnamed user with email support@archive.paperguardians.com
Date Deposited: 15 Mar 2023 12:49
Last Modified: 23 Feb 2024 03:51
URI: http://archives.articleproms.com/id/eprint/379

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