Robust Signal-to-Noise Ratio Estimation in Non-Gaussian Noise Channel


Lo, Ying Siew and Lim, Heng Siong and Tan, Alan Wee Chiat (2016) Robust Signal-to-Noise Ratio Estimation in Non-Gaussian Noise Channel. Wireless Personal Communication, 91 (2). pp. 561-575. ISSN 0929-6212; eISSN: 1572-834X

[img] Text
Restricted to Repository staff only

Download (804kB)


Signal-to-noise ratio (SNR) estimation available in the literature are designed based on the assumption of Gaussian noise models. These estimators may produce misleading results when the distribution of the noise deviates from Gaussian. This paper investigates the performance of existing SNR estimators in an additive non-Gaussian noise channel based on a Gaussian mixture model. An expectation–maximization (EM) based approach is proposed for optimum SNR estimation in the non-Gaussian noise channel. In addition, the Cramer–Rao bound is derived and used as a benchmark to assess the performance of the SNR estimators. Simulation results confirm the optimality and robustness of the proposed EM-based estimator in Gaussian and non-Gaussian noise channels.

Item Type: Article
Uncontrolled Keywords: SNR estimation, Non-Gaussian noise, Cramer–Rao bound
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 12 Dec 2017 16:54
Last Modified: 12 Dec 2017 16:54


Downloads per month over past year

View ItemEdit (login required)