Results 261 to 270 of about 36,429 (287)

SNR and Noise Variance Estimation for MIMO Systems

IEEE Transactions on Signal Processing, 2012
Accurate 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, 2005
Theoretically, 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), 2020
Signal-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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SNR mismatch and online estimation in turbo decoding

IEEE Transactions on Communications, 1998
Iterative decoding of turbo codes, as well as other concatenated coding schemes of similar nature, requires knowledge of the signal-to-noise ratio (SNR) of the channel so that proper blending of the a posteriori information of the separate decoders is achieved.
Todd A. Summers, Stephen G. Wilson
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Improving SNR estimation for autonomous radio receivers

GLOBECOM '05. IEEE Global Telecommunications Conference, 2005., 2005
We have demonstrated that the performance (as measured by its variance) of a popular SNR estimator can be improved by increasing the number of observables per symbol (accomplished by partitioning the symbol interval into a larger (than two) even number of subdivisions) but still processing them in successive pairs.
Marvin K. Simon, Sam Dolinar
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Iterative SNR estimation using a priori information

Digital Signal Processing, 2009
A class iterative signal-to-noise ratio (SNR) estimation algorithm is proposed in this paper. The data samples are governed by a given distribution with a priori. The expectation maximization (EM) algorithm is applied to iteratively maximize the likelihood function so as to realize the SNR estimation. Cramer-Rao bounds (CRB) with different a priori are
Yuanfei Nie, Jianhua Ge, Yong Wang 0013
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A Simple and Effective Framework for a Priori SNR Estimation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
The problem of estimating the a priori signal-to-noise ratio (SNR) for single-channel speech enhancement is addressed. Similar to the decision-directed approach we linearly combine the maximum likelihood estimate of the a priori SNR with an estimate obtained from the previous frame. Based on the harmonic model for voiced speech we propose to smooth the
Johannes Stahl 0003, Pejman Mowlaee
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On the impact of SNR estimation error on adaptive modulation

IEEE Communications Letters, 2005
In this letter we investigate the impact of signal-to-noise ratio (SNR) estimation on the performance of adaptive modulation. The adaptive modulation technique uses an estimate of the SNR at the receiver to choose a modulation scheme so that a given performance target is met.
Maruf Mohammad, R. Michael Buehrer
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Improved a priori snr estimation in speech enhancement

2017 23rd Asia-Pacific Conference on Communications (APCC), 2017
In this paper, a modified a priori SNR estimation method with application in speech enhancement is presented. The decision directed (DD) approach for the a priori SNR estimation has been the most popular method due to its ability to eliminate musical noise in speech enhancement. However, a limitation of this method is the slow tracking of speech onsets
Lara Nahma, Pei Chee Yong, Hai Huyen Dam, Sven Nordholm   +3 more
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Circuit for statistical estimation of BER and SNR in telecommunications

2006 IEEE International Symposium on Circuits and Systems, 2006
The key parameters that determine channel performance in telecommunications are bit error rate, Q-factor, signal to noise ratio and noise factor. Channel performance depends on signal susceptibility to attenuation, noise, jitter and other interferences in the propagating medium.
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