Title :
Comparative performance analysis of two algorithms for instantaneous frequency estimation
Author :
Reina, Guy ; Porat, Boaz
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
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 :
Wigner distribution; computational complexity; error analysis; frequency estimation; polynomials; spectral analysis; asymptotic first-order error analysis; comparative performance analysis; computational complexity; high-order ambiguity function; instantaneous frequency estimation; observation interval; polynomial Wigner-Ville distribution; polynomial function; signal phase; Analytical models; Area measurement; Computational complexity; Computational modeling; Discrete Fourier transforms; Error analysis; Frequency estimation; Gaussian noise; Performance analysis; Polynomials;
Conference_Titel :
Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004
Conference_Location :
Corfu
Print_ISBN :
0-8186-7576-4
DOI :
10.1109/SSAP.1996.534912
