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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).
Fire-control radar, Fault Diagnosis in Complex Systems, Aerospace Engineering, FOS: Mechanical engineering, Continuous-wave radar, Radar engineering details, Engineering, Artificial Intelligence, Radar Signal; Hilbert transform; Frequency Agility; Electronic intelligence (ELINT); Electronic warfare support (ES), Passive Radar, Multiple-Input Multiple-Output Radar Systems, Pulse-Doppler radar, Radar lock-on, Radar, Electronic engineering, Physics, Pulse repetition frequency, Geology, Acoustics, FOS: Earth and related environmental sciences, Radar display, Remote sensing, Automotive Radar, Computer science, Spectrum Monitoring, Programming language, Radar imaging, RF Fingerprinting, Control and Systems Engineering, SIGNAL (programming language), Deep Learning for Wireless Signal Classification, Computer Science, Physical Sciences, Signal Processing, Telecommunications
Fire-control radar, Fault Diagnosis in Complex Systems, Aerospace Engineering, FOS: Mechanical engineering, Continuous-wave radar, Radar engineering details, Engineering, Artificial Intelligence, Radar Signal; Hilbert transform; Frequency Agility; Electronic intelligence (ELINT); Electronic warfare support (ES), Passive Radar, Multiple-Input Multiple-Output Radar Systems, Pulse-Doppler radar, Radar lock-on, Radar, Electronic engineering, Physics, Pulse repetition frequency, Geology, Acoustics, FOS: Earth and related environmental sciences, Radar display, Remote sensing, Automotive Radar, Computer science, Spectrum Monitoring, Programming language, Radar imaging, RF Fingerprinting, Control and Systems Engineering, SIGNAL (programming language), Deep Learning for Wireless Signal Classification, Computer Science, Physical Sciences, Signal Processing, Telecommunications
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