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Gaussianity Testing as an Effective Technique for Detecting Discontinuous Transmission in 5G Networks

Jakub Nikonowicz, Mieczyslaw Jessa
2021 IEEE Access  
INDEX TERMS Gaussianity testing, energy detection, discontinuous transmission.  ...  The paper investigates statistical distribution testing-based detection methods in an intermittent signal detection scenario.  ...  As the sum of two Gaussian distributions still remains Gaussian [18] , the addition of a Gaussian-distributed signal and noise results in a Gaussian distribution also for signal-with-noise samples, which  ... 
doi:10.1109/access.2021.3056735 fatcat:5vzqsuennrhulauldqhf7uqesy

Polarity-Coincidence-Array Based Spectrum Sensing for Multiple Antenna Cognitive Radios in the Presence of Non-Gaussian Noise

Thakshila Wimalajeewa, Pramod K. Varshney
2011 IEEE Transactions on Wireless Communications  
While most existing literature on spectrum sensing has focused on impairments introduced by additive white Gaussian noise (AWGN), this assumption fails to model the behavior of certain types of noise in  ...  While most existing literature on spectrum sensing has focused on impairments introduced by additive white Gaussian noise (AWGN), this assumption fails to model the behavior of certain types of noise in  ...  On the other hand, the energy detector is the optimal detector in detecting Gaussian signals corrupted by Gaussian noise (i.e. β = 2 in the GG noise model) and as the non-Gaussianity of the noise increases  ... 
doi:10.1109/twc.2011.051311.101826 fatcat:ivn3d4rclbffffw2bdlykehnmq

Using LZMA Compression for Spectrum Sensing with SDR Samples

Andre R. Rosete, Kenneth R. Baker, Yao Ma
2018 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
The widely-used energy detection (ED), or radiometry method is only useful in determining whether a portion of radio-frequency (RF) spectrum contains energy, but not whether this energy carries structured  ...  In this paper we introduce the Lempel-Ziv Markov-chain Sum Algorithm (LZMSA), a spectrum sensing algorithm (SSA) that can detect the presence of a structured signal by leveraging the Liv-Zempel-Markov  ...  Adam Wunderlich for his advice on ROC and AUC theory, and to W. Max Lees for providing the fast ROC and AUC implementations in Python™.  ... 
doi:10.1109/uemcon.2018.8796574 dblp:conf/uemcom/RoseteBM18 fatcat:3pnqkrwyordjbdo4a3you3ne4m

Statistical Properties of SNR for Compressed Measurements

Yulong Gao, Yanping Chen, Linxiao Su
2016 Mathematical Problems in Engineering  
Firstly, we discuss the statistical properties of the compressed signal, the compressed noise, and their corresponding energy.  ...  It is well known that the statistical properties are a foundation for analyzing the performance of signal detection and the applications of compressed sensing in communication signal processing.  ...  Acknowledgments This work is supported by National Natural Science Foundation of China (NSFC) (61301101, 61671176).  ... 
doi:10.1155/2016/3406731 fatcat:ydneo3sjozc73geebepy3egq2i

Unknown signal detection by one-class detector based on Gaussian copula

Antonio Soriano, Luis Vergara, Jorge Moragues, Ramón Miralles
2014 Signal Processing  
One-class detector is an option to deal with the problem of detecting an unknown signal in a background noise, as it is only necessary to know the noise distribution.  ...  We show that classical energy detectors are particular cases of the proposed one-class detector, when Gaussian noise distribution is assumed, but are inappropriate in other cases.  ...  Keywords: signal detection, one-class detector, copula, energy detector Introduction Signal detection in a random background noise is a classical problem in detection theory.  ... 
doi:10.1016/j.sigpro.2013.09.011 fatcat:tpuekqyfyjgxnbw3try4qkuiam

Improved Denoising of Structural Vibration Data Employing Bilateral Filtering

Ning Liu, Thomas Schumacher
2020 Sensors  
In order to effectively remove the noise interference, bilateral filtering, a filtering method commonly used in the field of image processing for improving data signal-to-noise ratio was introduced.  ...  The results show that the bilateral filtering method can better preserve the details of the effective signal while suppressing the noise interference and effectively improve the data quality for structural  ...  The result of wavelet denoising is displayed in Figure 5d . Here, on the contrary, wavelet denoising is able to remove zero-mean random noise, but it is not effective for random peaks.  ... 
doi:10.3390/s20051423 pmid:32150925 fatcat:ih5mwd43hfatvottos32vvd2iq

On Possible Models of Attention in Signal Detection

Ronald Hübner
1993 Journal of Mathematical Psychology  
{ ClIli{orllia af Berkl'ley This paper is concerned with two different mechanisms of attention in auditory signal detection.  ...  One alters the width of a Gaussian filter (or attention band), whereas the other changes the tuning. that is. the placement of its center.  ...  ACKNOWLEDGMENTS This research was conducted while the author was a visiting scholar at the Psychology Department of the University of California at Berkeley, with support from the research council of NATO  ... 
doi:10.1006/jmps.1993.1016 fatcat:v752mgsqxnhdporzp5df5jcoxu

Wireless Synchronization Preamble Detection Scheme Using Bispectra-Based Statistics in the Presence of Stationary Noise

Aguilar-Torrentera Jorge
2015 Ingeniería Investigación y Tecnología  
For such end, detection along with cumulant-based processing are proposed. A framework based on synchronization in the presence of Gaussian and non-Gaussian noise.  ...  In this paper, wireless preamble sequences in additive noise are processed to reduce the signal to noise ratio of synchronization signals thereby improving interconnectivity.  ...  In order to present the preamble detection based on thirdorder cumulant, some relevant results are shown king into account the statistical characteristics of the random variable (12) where B (N) (f j  ... 
doi:10.1016/j.riit.2015.05.011 fatcat:xrtlh3c4xnch5lms2faydboijm

Improved energy detector for random signals in gaussian noise

Yunfei Chen
2010 IEEE Transactions on Wireless Communications  
New and improved energy detector for random signals in Gaussian noise is proposed by replacing the squaring operation of the signal amplitude in the conventional energy detector with an arbitrary positive  ...  Numerical results show that the best power operation depends on the probability of false alarm, the probability of detection, the average signal-to-noise ratio or the sample size.  ...  Improved Energy Detector for Random Signals in Gaussian Noise I. INTRODUCTION T HE energy detector is a very useful non-coherent detector for signals corrupted by Gaussian noise [1] .  ... 
doi:10.1109/twc.2010.5403535 fatcat:3ypppnkfuzezrbpkltctrotuyy

Dim and Small Target Detection Based on Gaussian Markov Random Field Motion Direction Estimation

Lei Min, Xiangsuo Fan, Juliu Li, Zhengrong Xiang, Qiqi Wu
2022 IEEE Access  
Second, to further enhance the energy of weak targets, the energy accumulation of targets is achieved by establishing a Gaussian Markov random field motion direction estimation model on the basis of obtaining  ...  To improve the detection of dim and small targets in low signal-to-noise ratio (SNR < 3dB) scenarios, energy accumulation along the estimated direction by estimating the direction of the target's motion  ...  GAUSSIAN MARKOV RANDOM FIELD MOTION DIRECTION ESTIMATION MODEL The difference image obtained after Gaussian Markov weighted filtering, the target energy in the image is still weak, in order to further  ... 
doi:10.1109/access.2022.3168352 fatcat:3ecaxfrnbrd3xlkbzr5kiv2lfa

Subthreshold Periodic Signal Detection by Bounded Noise-Induced Resonance in the FitzHugh–Nagumo Neuron

Yuangen Yao, Lijian Yang, Canjun Wang, Quan Liu, Rong Gui, Juan Xiong, Ming Yi
2018 Complexity  
Then, the influences of bounded noise on the weak signal detection are discussed in the FitzHugh–Nagumo (FHN) neuron.  ...  Randomness in phase can enhance the adaptability of neurons, but at the cost of signal detection performance so that neurons can work in more complex environments with a wider frequency range.  ...  In this study, we study in detail the effect of HF bounded noise on the detection of a weak LF periodic signal in the FHN neuron.  ... 
doi:10.1155/2018/5632650 fatcat:xvaeprhysnhhpfmfk7xskq4fhy

Analysis of the Effect of Nonlinear Low Noise Amplifier with Memory for Wideband Spectrum Sensing

Attaphongse Taparugssanagorn, Kenta Umebayashi, Janne Lehtoma"ki, Carlos Pomalaza-Ra'ez
2014 Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity  
This paper investigates the impact on the threshold level setting of a wideband energy detection based spectrum sensing caused by a nonlinear LNA at the radio frequency (RF) front-end of a wideband cognitive  ...  In wideband sensing receivers, especially in lowcost mass-product devices, the sensing operation is usually done in a range where the RF front-end components, such as the LNAs exhibit a nonlinear behavior  ...  It shows that the noise after the FFT is better fitted by the correlated Gaussian random vector. The theoretical result curve fits very well the simulation one.  ... 
doi:10.4108/icst.5gu.2014.258112 dblp:conf/5gu/Taparugssanagorn14 fatcat:lwjnargthzd2lhlxqjrz4geeaq

A theoretical performance analysis and simulation of time-domain EMI sensor data for land mine detection

Ping Gao, L.M. Collins
2000 IEEE Transactions on Geoscience and Remote Sensing  
Currently deployed EMI sensors that are used for the land mine detection process the recorded signal in a variety of ways in order to provide an audio output for the operator to judge whether or not the  ...  Based on exponential decay model and the assumption that the sensor response is subject to additive white Gaussian noise, the performance of these, as well as optimal, detectors are derived and compared  ...  Barnes for his generous help on the mathematical legality.  ... 
doi:10.1109/36.851785 fatcat:7rxbgauj4nfrhjgfd37gasvn6e

Detection performance of chaotic spreading LPI waveforms

Jin Yu, Yu-Dong Yao
2005 IEEE Transactions on Wireless Communications  
detect the presence of chaotic DS SS signals.  ...  The expressions of detection probabilities of chaotic spreading signals using those intercept receivers are derived.  ...  Energy detectors (radiometers) determine the presence of radio transmissions based on the energy level between signal-plus-noise and the noiseonly hypothesis .  ... 
doi:10.1109/twc.2004.842948 fatcat:2fdejeyhqzaj3krmgbsq756d2a

Subsection-average cyclostationary feature detection in cognitive radio

Yingpei Lin, Chen He
2008 2008 International Conference on Neural Networks and Signal Processing  
At last, numerical results are provided in order to illustrate the advantages of our new technique.  ...  We propose a novel strategy for spectrum sensing based on cyclostationary feature detection.  ...  Matched Filter Detection A matched filter is an optimal detection method as it maximizes the signal-to-noise ratio (SNR) of the received signal in the presence of additive Gaussian noise.  ... 
doi:10.1109/icnnsp.2008.4590421 fatcat:wdhk3arsgfatncx6ph6vkwftle
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