REAL-TIME IMPLEMENTATION OF A NEW RADAR SIGNAL PROCESSOR BASED ON THE TIME-FREQUENCY APPROACH | ||||
| The International Conference on Electrical Engineering | ||||
| Article 77, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Page 1-9 PDF (224.02 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2006.33684 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| K. H. Moustafa; H. E.Abou-Bakr Hassan | ||||
| Egyptian Armed Forces. | ||||
| Abstract | ||||
| Abstract Although the number of ways of describing a given signal is countless, the most important and fundamental variables in nature are time and frequency. While the time domain function indicates how the signal’s amplitude changes over time, the frequency domain function tells how often such changes take place. The bridge between time and frequency is the Fourier transform. One of the important applications of time-frequency transform is the detection and extraction of a radar signal immersed in noise jamming. In this paper a new technique dealing with improvement of radar performance under jamming conditions is presented. This new technique of time-frequency processing with non-linear threshold level is applied to a chirp radar pulse imbedded in a high level noise. A software program is built using MATLAB program. This paper also introduced a real-time implementation of the proposed model. The real-time implementation is done based on input/output data acquisition card using MATLAB, SIMULINK toolbox, Real-Time Workshop (RTW) toolbox and Real-Time Windows target (RTWT) toolbox. In addition, real-time windows target requires the Watcom C/C++ compiler. | ||||
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