SNR estimation in Nakagami-m fading with diversity combining and its application to turbo decoding

Ramesh, A. ; Chockalingam, A. ; Milstein, L. B. (2002) SNR estimation in Nakagami-m fading with diversity combining and its application to turbo decoding IEEE Transactions on Communications, 50 (11). pp. 1719-1724. ISSN 0090-6778

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/abstract/document/10978...

Related URL: http://dx.doi.org/10.1109/TCOMM.2002.805276

Abstract

We propose an online signal-to-noise ratio (SNR) estimation scheme for Nakagami-m (1960) fading channels with L branch equal gain combining (EGC) diversity. We derive the SNR estimate based on the statistical ratio of certain observables over a block of data, and use the SNR estimates in the iterative decoding of turbo codes on Nakagami-m fading channels with L branch EGC diversity. We evaluate the turbo decoder performance using the SNR estimate under various fading and diversity scenarios (m = 0.5, 1, 5 and L = 1, 2, 3) and compare it with the performance using perfect knowledge of the SNR and the fade amplitudes.

Item Type:Article
Source:Copyright of this article belongs to Institute of Electrical and Electronics Engineers.
Keywords:Diversity Reception; Fading; Turbo Codes; Signal To Noise Ratio; Iterative Decoding; Amplitude Estimation; Rayleigh Channels; AWGN Channels; Finite Impulse Response Filter; Additive White Noise
ID Code:100726
Deposited On:28 Mar 2017 06:39
Last Modified:28 Mar 2017 06:39

Repository Staff Only: item control page