Title :
IF estimation of higher-order polynomial FM signals corrupted by multiplicative and additive noise
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
Abstract :
We propose the peak of the polynomial Wigner-Ville distribution as an instantaneous frequency estimator for polynomial frequency modulated signals in the presence of multiplicative and additive complex Gaussian processes. We show that this estimator is unbiased and we derive an analytic expression of its asymptotic variance. Simulation results, based on Monte-Carlo realisations, are presented in order to show the validity of the theoretical derivations
Keywords :
AWGN; Monte Carlo methods; Wigner distribution; frequency estimation; frequency modulation; FM signals; Gaussian processes; IF estimation; Monte-Carlo simulation; additive noise; asymptotic variance; frequency modulated signals; higher-order polynomial; instantaneous frequency estimator; multiplicative noise; polynomial Wigner-Ville distribution; unbiased estimator; Additive noise; Amplitude modulation; Analysis of variance; Distributed computing; Frequency estimation; Frequency modulation; Gaussian noise; Polynomials; Signal processing; Time frequency analysis;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940611
