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Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Profiling radar signals based of pulse-to-pulse frequency agility

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  • Profiling radar signals based of pulse-to-pulse frequency agility

Ashraf A. Ahmad 1, *, Mustapha M. Aji 1, Yusuf Abdulmumin 1, 2, Ilyasu A. Jae 1 and Uthman I. Bello-Imokhuede 1

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
DOI url: https://doi.org/10.30574/gjeta.2023.15.2.0100
 
Received on 21 April 2023; revised on 27 May 2023; accepted on 30 May 2023
 
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). 
 
Radar Signal; Hilbert transform; Frequency Agility; Electronic intelligence (ELINT); Electronic warfare support (ES)
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2023-0100.pdf

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Ashraf A. Ahmad, Mustapha M. Aji, Yusuf Abdulmumin, Ilyasu A. Jae and Uthman I. Bello-Imokhuede. Profiling radar signals based of pulse-to-pulse frequency agility. Global Journal of Engineering and Technology Advances, 2023, 15(2), 141-140. Article DOI: https://doi.org/10.30574/gjeta.2023.15.2.0100

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