The split symbol moments SNR estimator in narrow-band channels

The split symbol moments estimator (SSME) is an algorithm that is designed to estimate symbol signal-to-noise ratio (SNR) in the presence of additive white Gaussian noise (AWGN). The performance of the SSME algorithm in bandlimited channels is examined, and the effects of the resulting intersymbol i...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 1990-09, Vol.26 (5), p.737-747
Hauptverfasser:	Shah, B., Hinedi, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Additive white noise Algorithm design and analysis Applied sciences AWGN Communications And Radar Detection, estimation, filtering, equalization, prediction Exact sciences and technology Gaussian noise Information, signal and communications theory Intersymbol interference Narrowband Propulsion Signal analysis Signal and communications theory Signal processing Signal to noise ratio Signal, noise Telecommunications and information theory
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Beschreibung
Zusammenfassung:	The split symbol moments estimator (SSME) is an algorithm that is designed to estimate symbol signal-to-noise ratio (SNR) in the presence of additive white Gaussian noise (AWGN). The performance of the SSME algorithm in bandlimited channels is examined, and the effects of the resulting intersymbol interference (ISI) are quantified. All results obtained are in closed form and can be easily evaluated numerically for performance-prediction purposes. The results are also validated through digital simulations.< >
ISSN:	0018-9251 1557-9603
DOI:	10.1109/7.102709