A novel method for chirp signal detection based on fractional Fourier transform
Qiufeng Shang, Wenyan He
Abstract
Qiufeng Shang, Wenyan He
Abstract
A new method for chirp signal detection based on Fractional Fourier Transform (FRFT) is described in order to improve the performance of power line communication system. A character of chirp signal is that its energy can be concentrated properly when the fractional Fourier angle is suitable, but noise does not have this feature, signal mixed with noise can be separated in specific fractional Fourier domain, and then narrow-band filter is adopted for the signal obtained in the fractional Fourier domain, this character can be used for signal detection and then demodulation. Finally, simulation experiments indicate that the method is feasible and the capacity of the system's anti-noisy disturbance is improved.
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A new method for chirp signal detection based on Fractional Fourier Transform (FRFT) is described in order to improve the performance of power line communication system. A character of chirp signal is that its energy can be concentrated properly when the fractional Fourier angle is suitable, but noise does not have this feature, signal mixed with noise can be separated in specific fractional Fourier domain, and then narrow-band filter is adopted for the signal obtained in the fractional Fourier domain, this character can be used for signal detection and then demodulation. Finally, simulation experiments indicate that the method is feasible and the capacity of the system's anti-noisy disturbance is improved.
Key concepts: Fractional Fourier transform, Chirp, Fourier transform, SIGNAL (programming language), Demodulation, Noise (video), Short-time Fourier transform, Computer science