What is it about?
There are several techniques for detecting and classifying low probability of intercept radar signals such as Wigner distribution, Choi-Williams distribution and time-frequency rate distribution, but these distributions require high SNR. To overcome this problem, we propose a new technique for detecting and classifying linear frequency modulation signal and polyphase coded signals using optimum fractional Fourier transform at low SNR. The theoretical analysis and simulation experiments demonstrate the validity and efficiency of the proposed method.
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Why is it important?
We propose a new technique for detecting and classifying linear frequency modulation signal and polyphase coded signals using optimum fractional Fourier transform at low SNR.
Perspectives
The simulation results show that the proposed technique has the advantages over other techniques because it has accurate detection and classification at low SNR
Dr. Ing. Samer Baher Safa Hanbali
Higher Institute for Applied Science and Technology
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This page is a summary of: Automatic Modulation Classification of LFM and Polyphase-coded Radar Signals, Radioengineering, December 2017, Brno University of Technology,
DOI: 10.13164/re.2017.1118.
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