Novel method of estimating Instantaneous Frequency based on the STFrFT
Bing Deng, Hong-Wu Hei, Yun Zhang, Feng Su · 2016
Instantaneous frequency estimation plays an essential role in such applications as target detection, emitter recognition and so on. In order to promote Instantaneous Frequency estimation precision based on the Short-Time Fractional Fourier Transform in low SNR, the peak tracking technology with Hidden Markov Model is used. After the Hidden Markov Model is established for the Short-Time Fractional Fourier Transform of the signal, the optimal path of frequency shift can be found by observing the energy spectrum of signal's Short-Time Fractional Fourier Transform. Thus, the estimation error of instantaneous Frequency can be revised further. The simulation shows that the proposed method can achieve higher precision.