TY - JOUR AU - Sekhar, S. Chandra AU - Sreenivas, TV PY - 2004 DA - 2004/09/29 TI - Adaptive Window Zero-Crossing-Based Instantaneous Frequency Estimation JO - EURASIP Journal on Advances in Signal Processing SP - 249858 VL - 2004 IS - 12 AB - 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). SN - 1687-6180 UR - https://doi.org/10.1155/S111086570440417X DO - 10.1155/S111086570440417X ID - Sekhar2004 ER -