https://azojete.com.ng/index.php/azojete <p align="justify">The Arid Zone Journal of Engineering, Technology and Environment is peer reviewed journal with the objectives to explore, develop and elucidate the knowledge of Engineering design and technology, to keep Practitioners and Researchers informed on current issues and best practices, as well as serving as a platform for the exchange of ideas, knowledge and expertise among technology researchers and practitioners. AZOJETE is published by the Faculty of Engineering, University of Maiduguri, Nigeria.</p> <p><strong>p-ISSN:</strong> 1596-2644 | <strong>e-ISSN:</strong> 2545-5818</p> <p><strong>PUBLICATIONS:</strong> MARCH, JUNE, SEPTEMBER AND DECEMBER</p> <p>AZOJETE is currently indexed in the following indexing platforms</p> <p><a href="https://scholar.google.com/citations?user=M32TLtAAAAAJ&amp;hl=en&amp;authuser=1" target="_blank" rel="noopener">GoogleScholar</a>, <a href="https://doaj.org/toc/2545-5818?source=%7B%22query%22%3A%7B%22filtered%22%3A%7B%22filter%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22terms%22%3A%7B%22index.issn.exact%22%3A%5B%222545-5818%22%5D%7D%7D%2C%7B%22term%22%3A%7B%22_type%22%3A%22article%22%7D%7D%5D%7D%7D%2C%22query%22%3A%7B%22match_all%22%3A%7B%7D%7D%7D%7D%2C%22size%22%3A100%2C%22_source%22%3A%7B%7D%7D" target="_blank" rel="noopener">DOAJ</a>, <a href="https://unimaid.academia.edu/AZOJETEUNIMAID" target="_blank" rel="noopener">ACADEMIA</a>, <a href="http://paper.researchbib.com/view/issn/1596-2490/9/1" target="_blank" rel="noopener">ResearchBib</a>, <a href="http://cosmosimpactfactor.com/page/journals_details/2486.html" target="_blank" rel="noopener">CosmosIF</a>, <a href="https://www.citefactor.org/journal/index/17181/arid-zone-journal-of-engineering-technology-and-environment#.XhqbMb5KjIU" target="_blank" rel="noopener">CiteFactor</a>, &nbsp;Bielefeld University Library, IIJIF, SIS, Cosmos Impact Factor, <a href="http://www.journaltocs.ac.uk/index.php?action=browse&amp;subAction=subjects&amp;publisherID=34&amp;journalID=38287&amp;pageb=1&amp;userQueryID=&amp;sort=&amp;local_page=&amp;sorType=&amp;sorCol=" target="_blank" rel="noopener">JournalTOCs</a>, <a href="http://oaji.net/journal-detail.html?number=4371" target="_blank" rel="noopener">OAJI</a>,&nbsp; 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Relying solely on traditional recognition models to identify radar signals in electronic warfare systems is a significant challenge. In response to the this problem, this paper proposed an analysis of normal radar signal based on different time-frequency distribution (TFDs) configurations which include Wigner-Ville Distribution (WVD), Windowed Wille-Ville Distribution (WWVD), Filtered Wigner-Ville Distribution (FWVD), Choi Williams Distribution (CWD), and hybrid distributions that combined FWVD and CWD.A two-stage process in other to achieve the aim of this research is presented. The first stage is the modelling and generating a normal (simple) radar signal of pulse-to-pulse constant frequency, while the second stage involved designed of these TFDs and using them to analyse the radar signals. The result showed that most of the TFDs captured the time and frequency parameters of the radar signals modelled around of pulse width (PW) of 1µs, pulse repetition interval (PRI) of 2 µs, center and sampling frequencies of 10 MHz and 40 MHz respectively. Therefore, these TFDs can further be analysed using signal processing and classification tools such as instantaneous power, instantaneous frequency, and machine learning for automatic waveform recognition.</p> A. A. Ahmad A. A. Ahmad M. M. Aji M. Abdulkadir F. O. Adunola S. Lawan Copyright (c) 2024 Arid Zone Journal of Engineering, Technology and Environment 2024-12-02 2024-12-02 20 4 699 712