Profiling radar signals based of pulse-to-pulse frequency agility
1 Department of Electrical/Electronic Engineering, Nigerian Defence Academy, Kaduna, Nigeria.
2 Department of Computer Science, Federal University, Dutsin-ma, Katsina, Nigeria.
Research Article
Global Journal of Engineering and Technology Advances, 2023, 15(02), 141–149.
Article DOI: 10.30574/gjeta.2023.15.2.0100
Publication history:
Received on 21 April 2023; revised on 27 May 2023; accepted on 30 May 2023
Abstract:
It is well known that the application of radar is becoming more and more popular with the development of signal technology progress. Therefore, this paper presents a first-stage process for radar signals analysis involving four different radar signals based on pulse-to-pulse frequency Agility. The radar signals include a normal radar signal (NRS), frequency hopping radar signal (FHRS), 2-frequency shift keying radar signal (2FSKRS), and a combination of frequency hopping radar signal (FHRS) and 2-frequency shift keying radar signal (2FSKRS). The process of modeling and generating the radar signals is presented and thereafter, results on the outcome of this process and their implications are discussed. It is observed from the obtained results of an accurate depiction of key parameters of pulse width (PW) of 1 µs and frequency of 10 MHz of the radar signals among others, that the developed models of the radar signals are feasible for further analysis using robust model signal processing tools such as time-frequency analysis can be used. Hence, these models can be used in practical radar signal analysis such as electronic intelligence (ELINT) and electronic warfare support (ES).
Keywords:
Radar Signal; Hilbert transform; Frequency Agility; Electronic intelligence (ELINT); Electronic warfare support (ES)
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0