Adaptive window zero-crossing-based instantaneous frequency estimation
Data(s) |
15/09/2004
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Resumo |
We address the problem of estimating instantaneous frequency (IF) of a real-valued constant amplitude time-varying sinusoid. Estimation of polynomial IF is formulated using the zero-crossings of the signal. We propose an algorithm to estimate nonpolynomial IF by local approximation using a low-order polynomial, over a short segment of the signal. This involves the choice of window length to minimize the mean square error (MSE). The optimal window length found by directly minimizing the MSE is a function of the higher-order derivatives of the IF which are not available a priori. However, an optimum solution is formulated using an adaptive window technique based on the concept of intersection of confidence intervals. The adaptive algorithm enables minimum MSE-IF (MMSE-IF) estimation without requiring a priori information about the IF. Simulation results show that the adaptive window zero-crossing-based IF estimation method is superior to fixed window methods and is also better than adaptive spectrogram and adaptive Wigner-Ville distribution (WVD)-based IF estimators for different signal-to-noise ratio (SNR). |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/43779/1/AdaptiveWindow.pdf Sekhar, Chandra S and Sreenivas, TV (2004) Adaptive window zero-crossing-based instantaneous frequency estimation. In: 6th Workshop on Nonlinear Signal and Image Processing, JUN, 2003, Grado, ITALY. |
Publicador |
Hindawi Publishing Corporation |
Relação |
http://asp.eurasipjournals.com/content/2004/12/249858 http://eprints.iisc.ernet.in/43779/ |
Palavras-Chave | #Electrical Communication Engineering |
Tipo |
Conference Paper PeerReviewed |