On the Efficiency of SNR Estimation via Birnbaum's Method

Dulek, Berkan

doi:10.1109/taes.2017.2722693

Cited by 1 publication

(2 citation statements)

References 18 publications

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“…By this way the element k y can replace all the time sequence ( ) k y i . And the equation of the output of the filter can be expressed as equation (4).…”

Section: System Modelmentioning

confidence: 99%

“…In [4], the problem of SNR estimation for UWB when independent sequences of noisy sign and pure noise is considered from the perspective of Birnbaum's sequential sampling method. In paper [5], the author proposed an algorithm for estimating the pulse energy-to-noise ratio of an UWB sign through utilization of output samples from a correlated in the receiver and evaluate the performance of the proposed algorithm through computer simulation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel SNR Estimator for DS-UWB Wireless Sensor Network

Li¹,

Liu²,

Yin³

et al. 2018

dtcse

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Abstract. In this technical survey, we introduce the state-of-the-art signal-to-noise rate (SNR) estimation techniques for direct sequence ultra-wide bandwidth (DS-UWB) system. The SNR estimation is important to improve the system performance in a multiuser wireless sensor network (WSN). We demonstrate the effectiveness of using regression analysis of features extracted from code mapping to derive a new SNR estimator. And compared the result with another estimator derived by long short-time memory (LSTM) recurrent neural networks (RNN) in terms of their root-mean-squared error. Numerical result show that with a proper length of sequence the proposed method can reach an excellent performance when operating in a DS-UWB system.

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“…By this way the element k y can replace all the time sequence ( ) k y i . And the equation of the output of the filter can be expressed as equation (4).…”

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%