Title :
A non-data-aided SNR estimation algorithm for QAM signals
Author :
Xu, Hua ; Li, Zupeng ; Zhen, Hui
Author_Institution :
Nat. Key Lab. of Signal Process., IETTC, Chengdu, China
Abstract :
We propose a non-data-aided (NDA) signal-to-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 the tested QAM signals can be effectively estimated by this algorithm.
Keywords :
AWGN channels; demodulation; digital radio; parameter estimation; quadrature amplitude modulation; statistical analysis; AWGN channel; QAM signals; adaptive demodulation; additive white Gaussian noise channel; nondata-aided SNR estimation; quadrature amplitude modulation signals; signal-to-noise-ratio estimation; statistical ratio; wireless digital communication; 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
Print_ISBN :
0-7803-8647-7
DOI :
10.1109/ICCCAS.2004.1346347
