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

Author

Ramesh, A. ; Chockalingam, A. ; Milstein, Laurence B.

Author_Institution

Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India

Volume

50

Issue

11

fYear

2002

fDate

11/1/2002 12:00:00 AM

Firstpage

1719

Lastpage

1724

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.

Keywords

diversity reception; fading channels; iterative decoding; turbo codes; AWGN channels; EGC diversity; Nakagami-m fading; Nakagami-m fading channels; SNR estimation; diversity combining; diversity scenarios; equal gain combining diversity; fade amplitudes; fading scenarios; iterative decoding; online SNR estimation; signal-to-noise ratio; statistical ratio; turbo codes; turbo decoder performance; turbo decoding; AWGN channels; Additive white noise; Amplitude estimation; Diversity reception; Fading; Finite impulse response filter; Iterative decoding; Rayleigh channels; Signal to noise ratio; Turbo codes;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/TCOMM.2002.805276

Filename

1097880