Instantaneous Frequency Estimation for Frequency-Modulated Signals under Gaussian and Symmetric α-Stable Noise

被引：0

作者：

Razzaq, Huda Saleem ^{[1
]}

Hussain, Zahir M. ^{[1
,2
]}

机构：

[1] Univ Kufa, Fac Comp Sci & Math, Najaf, Iraq

[2] Edith Cowan Univ, Sch Engn, Joondalup, Australia

来源：

2021 31ST INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC) | 2021年

关键词：

Frequency estimation; FM signal; Gaussian noise; S alpha S noise; TFD; MSE; GSNR;

D O I：

10.1109/ITNAC53136.2021.9652142

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Frequency estimation for frequency-modulated (FM) and single-tone sinusoidal signals is essential in various applications, such as wireless communications, sonar and radar measurements. In this paper, methods for estimating the instantaneous frequency (IF) under Additive White Gaussian Noise (AWGN) and Additive Symmetric alpha-alpha Stable Noise (S alpha SN) are investigated. Two MATLAB algorithms were considered based on the maximum likelihood for the Short Time Fourier Transform (STFT). S alpha S distributions commonly used to model impulsive noise disturbances; however, the S alpha S distribution lacks a closed-form Probability Density Function (PDF), except in specific cases (Gaussian, Cauchy, and levy distributions). As the second-order statistic is infinite for alphastable noise, Geometric SNR (GSNR) is used to determine the noise's impulsiveness in a mixture of Gaussian and S alpha S noise processes. Results showed that S alpha S noise is much more harmful for frequency estimation than Gaussian noise, even if it is a small capacity, and it is less destructive when alpha is more than one.

引用

页码：86 / 93

页数：8

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