DocumentCode :
2468952
Title :
Remote non-linearity detection via burst power dithering and EM based SNR Estimation
Author :
Das, Aniruddha ; Miller, Mark J.
Author_Institution :
ViaSat Inc., Carlsbad
fYear :
2007
fDate :
13-14 Sept. 2007
Firstpage :
216
Lastpage :
220
Abstract :
A new approach to detect the onset of saturation (1dB output compression point) at remote terminals is proposed in this paper. The proposed approach dithers the transmit power of periodic ranging bursts by a known amount and then estimates the received difference in Signal to Noise Ratio (SNR) and uses this metric to indicate whether the operating point of the Power Amplifier is in the linear range or not. The Expectation-Maximization (EM) Algorithm is used to achieve the ML estimate of the received SNR and is compared to the Cramer-Rao Lower Bound (CRLB). Application of this algorithm to a commercial satellite broadband system as well as simplifications to the algorithm to make it easier for implementation on FPGAs, are also discussed.
Keywords :
broadband networks; expectation-maximisation algorithm; power amplifiers; radiofrequency amplifiers; satellite communication; EM-based SNR estimation; FPGA; burst power dithering; expectation-maximization algorithm; periodic ranging burst; power amplifier; remote nonlinearity detection; remote terminals; satellite broadband system; Artificial satellites; Costs; Hardware; Maximum likelihood estimation; Power amplifiers; Quadrature phase shift keying; Radio frequency; Samarium; Satellite broadcasting; Signal to noise ratio; Communication system nonlinearities; EM Algorithm; Power control in satellite systems; QPSK SNR Estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Satellite and Space Communications, 2007. IWSSC '07. International Workshop on
Conference_Location :
Salzburg
Print_ISBN :
978-1-4244-0938-9
Electronic_ISBN :
978-1-4244-0939-6
Type :
conf
DOI :
10.1109/IWSSC.2007.4409419
Filename :
4409419
Link To Document :
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