Moustafa, K. (2022). A new model of Adaptive Radar Signal Processor based on a time-frequency approach. Journal of Computing and Communication, 1(2), 80-84. doi: 10.21608/jocc.2022.255011
khaled Hussein Moustafa. "A new model of Adaptive Radar Signal Processor based on a time-frequency approach". Journal of Computing and Communication, 1, 2, 2022, 80-84. doi: 10.21608/jocc.2022.255011
Moustafa, K. (2022). 'A new model of Adaptive Radar Signal Processor based on a time-frequency approach', Journal of Computing and Communication, 1(2), pp. 80-84. doi: 10.21608/jocc.2022.255011
Moustafa, K. A new model of Adaptive Radar Signal Processor based on a time-frequency approach. Journal of Computing and Communication, 2022; 1(2): 80-84. doi: 10.21608/jocc.2022.255011
A new model of Adaptive Radar Signal Processor based on a time-frequency approach
This article introduces a novel adaptive technique for improving radar performance in jamming environments. While there are infinite ways to describe a signal, the most fundamental and crucial variables in nature are time and frequency. While the time domain function describes how the amplitude of the signal changes over time, the frequency domain function describes how frequently these changes occur. The Fourier Transform (F.T.) serves as a link between time and frequency. Significant use of the time-frequency transform is detecting and extracting a radar signal jammed by noise. This novel technique for time-frequency processing with a nonlinear threshold level is demonstrated using a chirp radar pulse embedded in noise.
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