Title :
A non-data-aided SNR estimation algorithm for QAM signals
Author :
Hua Xu ; Zupeng Li ; Hui Zheng
Author_Institution :
Nat. Key Lab. of Signal Process., IETTC, Chengdu, China
Abstract :
In this paper, we propose a non-data-aided (NDA) signal-noise-ratio (SNR) estimation algorithm for quadrature amplitude modulation (QAM) signals in an additive white Gaussian noise (AWGN) channel. The NDA SNR estimation algorithm for QAM signals is derived based on a statistical ratio of observables over a block of data. The simple analysis and computer simulation for some kinds of QAM signals have been done, the results of which have proved that all QAM signals tested in this paper can be effectively estimated by this algorithm.
Keywords :
AWGN channels; curve fitting; noise; parameter estimation; quadrature amplitude modulation; statistical analysis; NDA SNR estimation algorithm; NDA signal-noise-ratio estimation algorithm; QAM signals; additive white Gaussian noise channel; computer simulation; data fitting; nondata-aided SNR estimation algorithm; quadrature amplitude modulation signals; statistical observables ratio; AWGN; Additive white noise; Algorithm design and analysis; Amplitude estimation; Computer simulation; Data analysis; Quadrature amplitude modulation; Signal analysis; Signal to noise ratio; Testing;
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1345960
