DocumentCode
3271174
Title
ECF-based blind Gaussian variance estimation in high-order modulation system
Author
Xu, Zhijiang ; Wang, Kang
Author_Institution
Coll. of Inf. Technol., Zhejiang Univ. of Technol., Hangzhou, China
fYear
2009
fDate
8-10 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Estimation of the variance of AWGN is important to the initialization of iterative decoder, such as turbo code and LDPC code. Hence this paper puts forward a low-complexity and effective blind Gaussian variance estimator for MPSK and MQAM. The algorithm is derived from empirical characteristic function and provides a good un-biased estimation despite the knowledge of modulation type, as is proved by computer simulations.
Keywords
Gaussian processes; iterative decoding; parity check codes; phase shift keying; quadrature amplitude modulation; turbo codes; AWGN; ECF-based blind Gaussian variance estimation; LDPC code; MPSK; MQAM; high-order modulation system; iterative decoder; turbo code; AWGN; Additive white noise; Decoding; Educational institutions; Equations; Gaussian noise; Iterative algorithms; Parity check codes; Signal to noise ratio; Turbo codes; Blind estimation; Empirical characteristic function; SNR;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
Conference_Location
Macau
Print_ISBN
978-1-4244-4656-8
Electronic_ISBN
978-1-4244-4657-5
Type
conf
DOI
10.1109/ICICS.2009.5397643
Filename
5397643
Link To Document