A non-data-aided SNR estimation algorithm for QAM signals

A non-data-aided SNR estimation algorithm for QAM signals

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...

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Bibliographische Detailangaben
Hauptverfasser: Hua Xu, Zupeng Li, Hui Zheng
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Additive white noise
Algorithm design and analysis
Amplitude estimation
AWGN
Computer simulation
Data analysis
Quadrature amplitude modulation
Signal analysis
Signal to noise ratio
Testing
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ICCCAS.2004.1345960