Instantaneous frequency estimators of FM signals: Performance under models of multiplicative noise
Abstract
This paper presents a study on the performance of instantaneous frequency estimators of mono-component FM signals, including a single-tone sinusoid, under additive white Gaussian noise (AWGN) with different kinds of multiplicative noise. For single-tone signals, two main estimators are considered: maximum likelihood (ML) estimator using Discrete Fourier Transform (DFT) with interpolated peak estimation, and autocorrelation method. For linear and non-linear FM signals, peak of a specific time-frequency distribution (TFD), the periodogram, has been considered. Three statistical models of multiplicative noise are analyzed (Gaussian, Rayleigh, uniform). Simulation results showed that Rayleigh noise is less destructive than Gaussian or uniform noise with the same power; also, DFT is still better than correlation for IF estimation in terms of error and robustness against all noise models.
RAS ID
45100
Document Type
Journal Article
Date of Publication
2016
Volume
12
Issue
6
Funding Information
Edith Cowan University Ministry of Higher Education & Scientific Research, Iraq
School
School of Engineering
Copyright
free_to_read
Publisher
Research India Publications
Comments
Al-Rammahi, Z. C., & Hussain, Z. M. (2016). Instantaneous frequency estimators of FM signals: Performance under models of multiplicative noise. Global Journal of Pure and Applied Mathematics, 12(6), 5361-5377. https://www.ripublication.com/Volume/gjpamv12n6.htm