A new model of Adaptive Radar Signal Processor based on a time-frequency approach | ||
| Journal of Computing and Communication | ||
| Article 7, Volume 1, Issue 2, August 2022, Pages 80-84 PDF (892.22 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/jocc.2022.255011 | ||
| Author | ||
| khaled Hussein Moustafa | ||
| Misr International University | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| RSP (Radar Signal Processor); F.T. (Fourier Transform); FFFT (Fast Fourier Transform); IFFT (Inverse Fast Fourier Transform); SNR (Signal-to-Noise Ratio); BPF (Band Pass Filter) | ||
|
Statistics Article View: 154 PDF Download: 354 |
||
