Comparative performance analysis of two algorithms for instantaneous frequency estimation
- 23 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 448-451
- https://doi.org/10.1109/ssap.1996.534912
Abstract
This paper compares two algorithms for estimating the instantaneous frequency of complex signals: the high-order ambiguity function (HAF) and the polynomial Wigner-Ville distribution (PWVD). Comparison is made by asymptotic first-order error analysis, which is verified by simulation. It is shown that when the signal phase is a polynomial function of time, the HAF always outperforms the PWVD. Two other advantages of the HAF over the PWVD are: (a) it has lower computational complexity; (b) unlike the PWVD its use is not limited to the instantaneous frequency at the middle of the observation interval.Keywords
This publication has 2 references indexed in Scilit:
- Asymptotic statistical analysis of the high-order ambiguity function for parameter estimation of polynomial-phase signalsIEEE Transactions on Information Theory, 1996
- Polynomial Wigner-Ville distributions and their relationship to time-varying higher order spectraIEEE Transactions on Signal Processing, 1994