An unconditionally positivity-preserving implicit-explicit scheme for evolutionary stable distribution model

2021 ◽  
pp. 113883
Author(s):  
Chun-Hua Zhang ◽  
Guang-Ze Chen ◽  
Zhi-Wei Fang ◽  
Xue-lei Lin ◽  
Hai-Wei Sun
Keyword(s):  
Stable Distribution ◽  
Explicit Scheme ◽  
Distribution Model ◽  
Positivity Preserving

Parameter Estimation Based on Fractional Correlation under Alpha-Stable Distribution Noise Environment in Bistatic MIMO Radar System

2014 ◽  
Vol 989-994 ◽  
pp. 3710-3713
Author(s):  
Li Li
Keyword(s):  
Parameter Estimation ◽  
Stable Distribution ◽  
Impulsive Noise ◽  
Mimo Radar ◽  
Radar System ◽  
Noise Model ◽  
Distribution Model ◽  
Music Algorithm ◽  
Bistatic Mimo Radar ◽  
Noise Environment

This paper takes the-stable distribution as the noise model and works on the parameter estimation problem of bistatic Multiple-Input Multiple-Output (MIMO) radar system in the impulsive noise environment.This paper presents a signal model and a novel method for parameter estimation in bistatic MIMO radar system in the impulsive noise environment. Firstly, a signal array model is constructed based on the-stable distribution model. Secondly, Doppler parameters are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the FLOS-FC. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on FLOS-MUSIC algorithm and FLOS-ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.

A New Method for Multi-Fault Diagnosis of Rotating Machinery Based on the Mixture Alpha Stable Distribution Model

2014 ◽  
Vol 977 ◽  
pp. 349-352 ◽  
Author(s):  
Gang Yu ◽  
Jian Kang
Keyword(s):  
Pattern Recognition ◽  
Fault Diagnosis ◽  
Stable Distribution ◽  
Estimation Algorithm ◽  
Rotating Machinery ◽  
Parameters Estimation ◽  
New Method ◽  
Distribution Model ◽  
Model Parameters ◽  
Alpha Stable Distribution

As one of the most important type of machinery, rotating machinery may malfunction due to various reasons. Sometimes the fault is a single one, but sometimes it maybe in multi-fault condition, this paper mainly focus on the latter. First, the paper gives a brief introduction of the study on multi-fault, then it introduces the mixture of Alpha stable distribution model, besides, it gives the model parameters estimation algorithm in detail, at last we use the SOM net to complete pattern recognition. The results prove that this modeling method is effective in multi-fault diagnosis in rotating machinery.

Statistical Characters Analysis of LF Atmospheric Noise

2014 ◽  
Vol 556-562 ◽  
pp. 4073-4076
Author(s):  
Yan Jun Wu ◽  
Gang Fu ◽  
Qian He
Keyword(s):  
Probability Distribution ◽  
Quantum Interference ◽  
Stable Distribution ◽  
Low Frequency ◽  
Distribution Model ◽  
Channel Noise ◽  
Communication Performance ◽  
Alpha Stable Distribution ◽  
Atmospheric Noise ◽  
Noise Data

In low frequency (LF) communication, the main factor of affecting property of LF communication system is the atmospheric noise caused by lightning phenomenon. Amplitude probability distribution of this atmospheric noise is with non-Gaussian characters seriously. Due to influence of various factors, such as occurrence time, physical location and seasons, making analysis of LF atmospheric noise on the receiver communication performance becomes more complex. Therefore, the study of characteristics of atmospheric noise amplitude probability distribution is necessary. In this paper, Firstly, we are on the assumption that the amplitude probability distribution characteristics of atmospheric noise obey Alpha stable distribution; then introduce the Alpha stable distribution model; Finally, we use probability distribution function (pdf) and Quantile-Quantile (Q-Q) plot fitting for Alpha stable distribution according to real LF channel noise data acquired by a high sensitive superconducting quantum interference device (SQUID). Simulation results show the assumption is correct.

scholarly journals Impulsive Noise Characterization in Narrowband Power Line Communication

2018 ◽  
Author(s):  
Sami Barmada ◽  
Li Bai ◽  
Mauro Tucci ◽  
Marco Raugi ◽  
Tao Zheng
Keyword(s):  
Stable Distribution ◽  
Impulsive Noise ◽  
Power Line ◽  
Distribution Model ◽  
Power Line Communication ◽  
Alpha Stable Distribution ◽  
Grid Environments ◽  
Comprehensive Comparison ◽  
Advanced Metering ◽  
Noise Characterization

Currently, narrowband Power line communication (PLC) is considered as an attractive communication system in smart grid environments for applications such as advanced metering infrastructure (AMI). In this paper, we will present a comprehensive comparison and analysis in time and frequency domain of noise measured in China and Italy. In addition, impulsive noise in these two countries are mainly analyzed and modeled using two probability based models, Middleton Class A (MCA) model and \(\alpha\) stable distribution model. The results prove that noise measured in China is rich in impulsive noise, and can be modeled well by \(\alpha\) stable distribution model, while noise measured in Italy has less impulsive noise, and can be better modeled by MCA model.

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