High latitude ionospheric scintillations

1984 ◽  
Vol 62 (5) ◽  
pp. 487-504 ◽  
Author(s):  
J. A. Fulford ◽  
P. A. Forsyth

The statistical characteristics of ionospheric irregularities are often described by specifying one or two of the statistical parameters of the scintillations that the irregularities produce in satellite radio signals. The most commonly used parameter for this purpose is the spectral index (slope of the power spectral density function on a log–log plot). While it is becoming increasingly clear that the characterization of either phase or amplitude scintillations by a single parameter may obscure significant characteristics of the scintillations, this simple approach has proven to be useful for the prediction of the behaviour of transionospheric propagation paths such as those used in various space application systems. This paper explores the use, in addition to the usual phase and amplitude observations, of measurements of angle-of-arrival, in order to characterize the scintillations. Since each of these observations represent a different kind of observational "filtering", the combination of one statistical parameter from each type of measurement should provide a more adequate characterization of the scintillations. It is found that the use of the widths of the autocorrelation functions for this purpose is preferred over the use of spectral indices.

1993 ◽  
Vol 15 (3) ◽  
pp. 238-254 ◽  
Author(s):  
Tomy Varghese ◽  
Kevin D. Donohue

Characterization of tissue microstructure from the backscattered ultrasound signal using the spectral autocorrelation (SAC) function provides information about the scatterer distribution in biological tissue. This paper demonstrates SAC capabilities in characterizing periodicities in A-scans due to regularity in the scatterer distribution. The A-scan is modelled as a cyclostationary signal, where the statistical parameters of the signal vary in time with single or multiple periodicities. This periodicity manifests itself as spectral peaks both in the power spectral density (PSD) and in the SAC. Periodicity in the PSD will produce a well defined dominant peak in the cepstrum, which has been used to determine the scatterer spacing. The relationship between the scatterer spacing and the spacing of the spectral peaks is established using a stochastic model of the echo-formation process from biological tissue. The distribution of the scatterers within the microstructure is modelled using a Gamma function, which offers a flexible method of simulating parametric regularity in the scatterer spacing. Simulations of the tissue microstructure for lower orders of regularity indicate that the SAC components reveal information about the scatterer spacing that are not seen in the PSD and the cepstrum. The echo-formation process is tested by simulating microstructure of varying regularity and analyzing their effect on the SAC, PSD and cepstrum. Experimental validation of the simulation results are provided using in vivo scans of the breast and liver tissue that show the presence of significant spectral correlation components in the SAC.


Author(s):  
Shao Wang ◽  
Wai Kin Chan

To account for the effects of asperity contacts at various length scales, it is appropriate to characterize an engineering surface as a fractal-regular surface. In spite of significant theoretical advancement, there is a desperate need for experimental verification of the theory of fractal-regular surfaces and a consistent scheme of obtaining the fractal parameters. In the present study, the existence of a fractal region and a regular-shape region in the power spectral density function for fractal-regular surfaces was confirmed experimentally, for the first time, with data obtained from magnetic hard disk and silicon wafer surfaces. A novel scheme involving a variable transformation was developed to extract fractal parameters. This scheme was validated by accurate recovery of fractal parameters from simulated surfaces. The fractal dimension, the fractal roughness parameter and the fractal domain length were found for magnetic hard disk and silicon wafer surfaces.


Author(s):  
Sachin Dahikar ◽  
Ram Sonolikar

Local instantaneous pressure signals obtained through a magneto-fluidized bed have been analyzed using both classical and advanced signal analysis methods, which can deliver the necessary information about the presence of the bubbling and turbulent flow pattern. The conventional signal processing tool such as autocorrelation and cross correlation were used as preliminary tools to analyze the data. Evaluation of the dominant bubble frequency was completed using the autocorrelation function and power spectral density function. Mutual information function was used to identify the periodicity and the predictability of the local instantaneous pressure signals. Since it does not demand any particular functional relationships between the data points, it is a better method (compared to autocorrelation function) for measuring the predictability of nonlinear systems.


Author(s):  
Adil Hussain ◽  
Munawar Shah

The international reference ionosphere (IRI) models have been widely used for correcting the ionospheric scintillations at different altitude levels. An evaluation on the performance of VTEC correction from IRI models (version 2007, 2012 and 2016) over Sukkur, Pakistan (27.71º N, 68.85º E) is presented in this work. Total Electron Content (TEC) from IRI models and GPS in 2019 over Sukkur region are compared. The main aim of this comparative analysis is to improve the VTEC in low latitude Sukkur, Pakistan. Moreover, this study will also help us to identify the credible IRI model for the correction of Global Positioning System (GPS) signal in low latitude region in future. The development of more accurate TEC finds useful applications in enhancing the extent to which ionospheric influences on radio signals are corrected. VTEC from GPS and IRI models are collected between May 1, 2019 and May 3, 2019. Additionally, Dst and Kp data are also compared in this work to estimate the geomagnetic storm variations. This study shows a good correlation of 0.83 between VTEC of GPS and IRI 2016. Furthermore, a correlation of 0.82 and 0.78 is also recorded for IRI 2012 and IRI 2007 respectively, with VTEC of GPS. The IRI TEC predictions and GPS-TEC measurements for the studied days reveal the potential of IRI model as a good candidate over Pakistan.


Author(s):  
Aliya R. Shamratova ◽  
◽  
Valentina G. Shamratova ◽  
Aliya F. Kayumovа ◽  
Klara R. Ziyakaeva

Haematology analysers have become an intrinsic part of contemporary medical practice and are used by specialists in various fields of medicine to diagnose diseases and predict their course and outcome. Moreover, the readings of these devices are currently in demand in experimental biology and medicine, toxicology, and veterinary medicine. This review examines the capabilities of modern models of haematology analysers and prospects for their use. New technical approaches combined with already known methods and statistical calculation parameters allow us to significantly expand the range of analyser output. It is shown that the introduction of programs for statistical calculations of a large number of indices and parameters of the distribution of cell populations by their volumes opens up new prospects for describing and evaluating not only pathological, but also physiological states of the body. We analysed both Russian and foreign literature on the use of erythrocyte and platelet indices to diagnose cardiovascular and other pathologies. Taking into account the indicators of corpuscular volume based on histograms and analysing statistical parameters of blood cell distribution enhance our understanding of the structure of blood cell populations, significantly increase the information content of research and can serve as an additional criterion for quantitative assessment of the bodyʼs conditions and diagnosis of diseases. Statistical characteristics such as asymmetry coefficient, kurtosis, and standard deviation of empirical erythrograms and leukograms allow us to assess the degree of anisocytosis and cellular heterogeneity, as well as the ratio of different populations. Studying the volume characteristics of blood cells based on histogram analysis significantly improves the effectiveness of using haematology analysers in evaluating various pathological and physiological conditions of the body.


2013 ◽  
Vol 11 (11) ◽  
pp. 110102-110105
Author(s):  
Linyan Cui Linyan Cui ◽  
Bingdang Xue Bingdang Xue ◽  
Wenyue Zhu Wenyue Zhu ◽  
Xiangzhi Bai) Xiangzhi Bai) ◽  
Xiaoguang Cao Xiaoguang Cao ◽  
...  

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