Open Access

Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation

EURASIP Journal on Advances in Signal Processing20042004:249858

DOI: 10.1155/S111086570440417X

Received: 2 September 2003

Published: 29 September 2004


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).

Keywords and phrases

zero-crossing irregular sampling instantaneous frequency bias-variance tradeoff confidence interval adaptation

Authors’ Affiliations

Department of Electrical Communication Engineering, Indian Institute of Science


© Sekhar and Sreenivas. 2004