DocumentCode :
3287460
Title :
SNR estimation in generalized fading channels and its application to turbo decoding
Author :
Ramesh, A. ; Chockaligam, A. ; Milstein, L.B.
Author_Institution :
Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore, India
Volume :
4
fYear :
2001
fDate :
2001
Firstpage :
1094
Abstract :
We propose an online SNR estimation scheme for generalized fading channels. We derive the SNR estimate based on a statistical ratio of observables over a block of data, when the channel undergoes Nakagami fading. An online SNR estimator for AWGN channels has been derived by Summers and Wilson (see IEEE Trans. Commun., vol.46, no.4, p.421-23, 1998). Our SNR estimation scheme in this paper is for a general Nakagami fading channel, where the SNR estimates in Rayleigh fading and AWGN can be obtained as special cases corresponding to the Nakagami parameter m=1 and m=∞, respectively. As an example, we use our SNR estimate in the iterative decoding of turbo codes on both i.i.d and correlated Rayleigh fading channels. We show that the turbo decoder performance on Rayleigh fading channels using our SNR estimate is close to the performance using perfect knowledge of the fade amplitudes and the SNR
Keywords :
AWGN channels; Rayleigh channels; correlation methods; iterative decoding; parameter estimation; turbo codes; AWGN channels; Nakagami fading channel; Nakagami parameter; Rayleigh fading; correlated Rayleigh fading channels; data block; fade amplitudes; general Nakagami fading channel; i.i.d fading channels; iterative decoding; online SNR estimation; statistical ratio; turbo codes; turbo decoder performance; turbo decoding; AWGN channels; Amplitude estimation; Application software; Channel estimation; Concatenated codes; Fading; Iterative decoding; Rayleigh channels; Rician channels; Turbo codes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2001. ICC 2001. IEEE International Conference on
Conference_Location :
Helsinki
Print_ISBN :
0-7803-7097-1
Type :
conf
DOI :
10.1109/ICC.2001.936822
Filename :
936822
Link To Document :
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