Parameters estimation of point moving source with time-frequency transformation
K.C. Tam, Shiu Keung Tang · PolyU Institutional Research Archive (Hong Kong Polytechnic University) · 2010
A new parameter estimation method for a point moving harmonic source with unknown moving velocity and frequency is presented in this paper. The time-frequency representation of the source signal is taking the place of traditional time correlation estimation methods. For a harmonic source moving at constant velocity, the received signal which is amplitude and frequency modulated has no spatial correlation between microphone pairs in time or fr equency domain which make the estimation problem become complicated. Besides, it is observed that the Doppler shifted frequency of the signal correlate well between spatial distributed microphone signals. Moreover, the second time derivative of the Doppler shifted frequency gives the reference time for the estimation of the source parameters in time domain. In this paper, the algorithm for estimation based on time-frequency transformation is presented. The adaptability of short -time Fourier transform (STFT), filtered short-time Fourier transform (FSTFT) and Polynomial Phase Estimation (PPE) method are also illustrated. In addition, the performance of the analysers on difference source velocity, frequency and signal to noise ratio in computer simulations is presented. The results demonstrate the validity of the proposed method to give a rigid estimation in constant speed moving source. This paper concludes with further investigation and discussion about the proposed method.