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NDA SNR estimation: CRLBs and EM based estimators
TENCON 2008 - 2008 IEEE Region 10 Conference, 2008Signal to noise ratio (SNR) estimation is an important problem in many communication systems. SNR often needs to be estimated in the presence of unknown transmitted data symbols in a non data aided (NDA) manner. In this paper we derive a methodology to calculate the Cramer-Rao lower bound (CRLB) of NDA SNR estimation in an additive white Gaussian noise
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Optimal seismic resolution and SNR estimation
SEG Technical Program Expanded Abstracts 1993, 1993Enhancing the resolution of seismic data is usually effected by increasing the bandwidth of the wavelet. This process is usually hampered by the presence of random noise in real data. Increasing the bandwidth of the wavelet tends to amplify random noise, partially negating the purpose of the process.
Maher S. Maklad +2 more
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Estimating Signal-to-Noise Ratio (SNR)
IEEE Journal of Oceanic Engineering, 2008In many scientific studies involving evaluation of competing ocean engineering systems or the fundamental limits of system performance it is necessary to compare signal power with noise power; in particular, one needs to estimate the signal-to-noise ratio (SNR).
B.T. Bosworth +4 more
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Efficient SNR estimation in OFDM system
2011 IEEE Radio and Wireless Symposium, 2011It is very important to estimate the signal to noise ratio (SNR) of received signal and to transmit the signal effectively for the modern communication system. The performance of existing non-data-aided (NDA) SNR estimation methods are substantially degraded for high level modulation scheme such as M-ary amplitude and phase shift keying (APSK) or ...
Seon Ae Kim +3 more
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A Blind SNR Estimator for Digital Bandpass Signals
2006 6th International Conference on ITS Telecommunications, 2006A subspace-based blind signal-to-noise ratio (SNR) estimation algorithm for digital bandpass signals in additive white Gaussian noise (AWGN) channel is developed in this paper. The eigenvector decomposition of the sample correlation matrix of the received signals is performed first, then the signal subspace dimension is determined, the power of the ...
Dan Sui, Lindong Ge
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Jamming detection and SNR/SNJR estimation
2011 Aerospace Conference, 2011For proper communication system design and operation, system engineers want to make sure that the signal-to-noise ratio (SNR) and signal-to-noise-plus-jamming ratio (SNJR) are within sufficient design link margin. However, an over design to make the link margin too high is costly and is not desirable for operation.
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SNR estimation for advanced hyperspectral space instrument
SPIE Proceedings, 2005EnMAP (Environmental Mapping and Analysis Program) is one of the selected proposals for the national German Space Program. The EnMap project includes the technological design of the Hyperspectral Spaceborne Instrument and the algorithms development of the classification.
Andreas Eckardt +3 more
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Generalized Moment-Based Method for SNR Estimation
2007 IEEE Wireless Communications and Networking Conference, 2007This paper investigates non-data-aided (NDA) SNR estimation for QAM transmission over additive white Gaussian noise channels. It proposes a novel class of moment-based SNR estimators. This class is found to be a generalization of the well-known moment-based M2M4 SNR estimation method for PSK modulation.
Mohammed Bakkali +2 more
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Turbo equalization with iterative online SNR estimation
IEEE Wireless Communications and Networking Conference, 2005, 2005Theoretically, it is necessary to estimate the signal-to-noise ratio (SNR) of the channel when using a maximum a posteriori (MAP) or log-MAP turbo equalizer. In this paper, we study the effect of an SNR mismatch on the bit error rate (BER) performance of log-MAP and max-log-MAP turbo equalizers, and propose an iterative online SNR estimation scheme ...
S. Talakoub, B. Shahrrava
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Effective SNR estimation in OFDM system simulation
IEEE GLOBECOM 1998 (Cat. NO. 98CH36250), 2002The signal-to-noise ratio (SNR), the standard measure of analog noise attribute, is used to assess the quality of the final demodulation signals in a orthogonal frequency division multiplexing (OFDM) system. The approach is based on the statistical properties of a random process after the Fourier transform.
null Shousheng He, M. Torkelson
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