Application of Window-length-adaptive STFT Algorithm Based on Information Entropy in AFVISAR
Xiaofeng Meng
Abstract
Xiaofeng Meng
Abstract
Instantaneous frequency estimation was performed on the output signal of all-fiber velocity interferometer for any reflector(AFVISAR) with short-time Fourier transform(STFT),the time-frequency resolution couldn′t be changed according to the signal characteristics because of the fixed window-length.To solve this problem,a window-length-adaptive STFT algorithm based on information entropy is presented.The simulation results indicate that this algorithm can balance the time resolution and frequency resolution based on the signal characteristics effectively,and improve accuracy of the instantaneous frequency estimation.
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Instantaneous frequency estimation was performed on the output signal of all-fiber velocity interferometer for any reflector(AFVISAR) with short-time Fourier transform(STFT),the time-frequency resolution couldn′t be changed according to the signal characteristics because of the fixed window-length.To solve this problem,a window-length-adaptive STFT algorithm based on information entropy is presented.The simulation results indicate that this algorithm can balance the time resolution and frequency resolution based on the signal characteristics effectively,and improve accuracy of the instantaneous frequency estimation.
Key concepts: Short-time Fourier transform, Algorithm, Fourier transform, Spectral density estimation, Computer science, Instantaneous phase, SIGNAL (programming language), Entropy (arrow of time)