Results 211 to 220 of about 31,026 (252)
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The NDA SNR estimation for QAM signals
14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003., 2004This paper proposes a non-data-aided (NDA) SNR estimation algorithm for QAM signals in additive Gauss white noise channel and on the condition of the equivalent priori probabilities of every constellation signals by using second statistics. The detail analysis and computer simulation for 128QAM signals have been done.
Hua Xu, Qishan Huang, Hui Zheng
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Limitations on SNR estimator accuracy
IEEE Transactions on Signal Processing, 2002We consider the samples of a pure tone in additive white Gaussian noise (AWGN) for which we wish to determine the signal-to-noise ratio (SNR) defined here to be /spl alpha/=(A/sup 2//2/spl sigma//sup 2/), where A is the tone amplitude, and /spl sigma//sup 2/ is the noise variance.
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A comparison of SNR estimation techniques in the AWGN channel
IEEE Pacific Rim Conference on Communications, Computers, and Signal Processing. Proceedings, 2000We investigate the performance of various signal-to-noise power ratio (SNR) estimation techniques reported in the literature. The search for the best SNR estimator is undertaken by the software simulation of a baseband, binary PAM signal in an AWGN channel.
David R. Pauluzzi, Norman C. Beaulieu
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SNR Estimation with Heterogeneous Frames
2008 4th Advanced Satellite Mobile Systems, 2008We study the problem of estimating the signal-to noise ratio (SNR) in linearly modulated systems. It is assumed that the frame of observations consists of several subframes, so that the symbols in different subframes are drawn from different constellations.
Marcos Alvarez-Diaz +2 more
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A Data-Driven Approach to A Priori SNR Estimation
IEEE Transactions on Audio, Speech, and Language Processing, 2011The a priori signal-to-noise ratio (SNR) plays an important role in many speech enhancement algorithms. In this paper, we present a data-driven approach to a priori SNR estimation. It may be used with a wide range of speech enhancement techniques, such as, e.g., the minimum mean square error (MMSE) (log) spectral amplitude estimator, the super Gaussian
Suhadi Suhadi +2 more
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Comparison of four SNR estimators for QPSK modulations
IEEE Communications Letters, 2000Four signal-to-noise ratio (SNR) estimators for quaternary phase-shift keying (QPSK)-like signaling are proposed and examined. Two are based on receiver statistics directly related to the SNR while two others are based on receiver statistics inversely related to the SNR.
Norman C. Beaulieu +2 more
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SNR estimation in time-varying fading channels [PDF]
IEEE Transactions on Communications, 2006 Signal-to-noise ratio (SNR) estimation is considered for phase-shift keying communication systems in time-varying fading channels. Both data-aided (DA) estimation and nondata-aided (NDA) estimation are addressed. The time-varying fading channel is modeled as a polynomial-in-time.
Ami Wiesel +2 more
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SNR and Noise Variance Estimation for MIMO Systems
IEEE Transactions on Signal Processing, 2012Accurate signal-to-noise ratio (SNR) and noise variance estimation are extremely important aspects of receiver design in multiple-input multiple-output (MIMO) systems. Typically, these parameters are estimated using known pilot/training symbols. However, significant improvements may be made by using both the known pilot symbols as well as the unknown ...
Aniruddha Das, Bhaskar D. Rao
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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 ...
Shahram Talakoub, Behnam Shahrrava
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An Envelope-based Feature for NDA SNR Estimation
2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020Signal-to-noise Ratio (SNR) estimation is essential in many communication systems. Moment-based SNR estimators are a type of envelope-based estimator. The performance of moment-based estimators are known to decrease with increasing SNR for nonconstant modulus signals.
Muhammed Ceyhun Kardas, Ali Emre Pusane
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