Kalman filtering for SNR estimation in AWGN and fading channels

Author

Gopal, Lenin ; Zang, Zhuquan

Author_Institution

Sch. of Eng. & Sci., Curtin Univ. of Technol., Miri, Malaysia

fYear

2009

fDate

15-17 Dec. 2009

Firstpage

805

Lastpage

808

Abstract

Most of the wireless communication systems require knowledge of the channel signal-to-Noise ratio. Additive White Gaussian Noise (AWGN) and Rayleigh fading severely degrade the performance of the wireless communication systems. In this paper we proposed a scalar Kalman filter based approach for improved signal to noise ratio estimation in the presence of AWGN and fading environment. The mean square error (MSE) and bias are used as performance measures. Simulation result shows the promising results.

Keywords

AWGN channels; Kalman filters; Rayleigh channels; estimation theory; mean square error methods; AWGN; Kalman filtering; Rayleigh fading channel; SNR estimation; additive white Gaussian noise; channel signal-to-noise ratio; mean square error; wireless communication systems; AWGN; Additive white noise; Degradation; Fading; Filtering; Kalman filters; Mean square error methods; Rayleigh channels; Signal to noise ratio; Wireless communication; AWGN; Estimation; Kalman filtering; Rayleigh fading; Signal-to-Noise Ratio (SNR);

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (MICC), 2009 IEEE 9th Malaysia International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5531-7

Type

conf

DOI

10.1109/MICC.2009.5431385

Filename

5431385