Adaptive Filtering and Temporal Alignment Based Fusion Algorithm for Navigation Systems in the Arctic Region

2019 ◽  
Vol 13 (2) ◽  
pp. 2022-2033
Author(s):  
Jinlong Sun ◽  
Zhilu Wu ◽  
Zhendong Yin ◽  
Zhutian Yang
Author(s):  
V.N. Skosyrev ◽  
R.O. Stepanov ◽  
V.A. Usachev

The specific conditions peculiar to the Northern regions create a number of difficulties in the functioning of the information airfield structure based on the traditional complex of navigation aids. These difficulties are caused by the unstable operation of satellite navigation systems in the Arctic region and territorial fragmentation. There is an urgent need to develop new approaches and technical means for the deployment of local navigation systems that ensure the operation of airfields with low traffic and difficult flight conditions. The aim of the study is to develop approaches to the creation of a new generation of multifunctional radar systems for the organization of a local navigation and information system at the airfields of the Arctic region, consisting of a ground-based multifunctional station, a portable small-sized terminal installed on board the aircraft and a board-to-ground communication line. This article proposes a promising navigation and territorial system for Arctic airfields, based on a new generation of information tools, including multifunctional radar stations. The proposed local territorial navigation and system is based on the information of the ground-based multifunctional airfield control radar. The information is transmitted to a portable small-sized terminal installed on board the aircraft. In this system, when transmitting the current situation to the on-board terminal from the multifunctional radar, which is linked to the airfield control center, it provides a safer implementation of the approach and landing modes at Arctic airfields, including in the complete absence of satellite navigation. The implementation of the proposed principles and technical solutions will enable the creation of a new generation of technical tools and the introduction of new organizational approaches to the creation of local navigation systems.


2018 ◽  
pp. 13-17
Author(s):  
V. I. Baburov ◽  
N. V. Vasileva ◽  
N. V. Ivantsevich

In view of the development of the Arctic Region the problem of aircraft (AC) navigation support under arctic conditions throughout the flight, including the landing stage, acquires special momentum. Given that land-based navigation systems have a limited range which does not cover the Arctic Region and are significantly inferior to satellite radio navigation systems (SRNS), SRNS user navigation equipment (UNE) becomes extremely important for AC navigation and landing. The functioning of SRNS UNE in the polar regions is determined by the characteristics of the satellite signal propagation path under arctic conditions and considerable radio signal reflection from the underlying surface. Multipath errors are of special significance for low satellite elevations. If low satellites are excluded from processing by UNE while maintaining acceptable positioning accuracy, both the integral accuracy rates and accessibility may be improved. The paper analyses the composition and information characteristics of working satellite constellations in integrated GLONASS and pseudolites positioning in the Arctic region of Russia. Our study performed by simulation modelling has established considerable redundancy of working constellations at the nominal value of admissible satellite elevation. This factor has been studied for forming controllable working constellations in aircraft on board navigation and landing complex.


2018 ◽  
Vol 35 (4) ◽  
pp. 110-113
Author(s):  
V. A. Tupchienko ◽  
H. G. Imanova

The article deals with the problem of the development of the domestic nuclear icebreaker fleet in the context of the implementation of nuclear logistics in the Arctic. The paper analyzes the key achievements of the Russian nuclear industry, highlights the key areas of development of the nuclear sector in the Far North, and identifies aspects of the development of mechanisms to ensure access to energy on the basis of floating nuclear power units. It is found that Russia is currently a leader in the implementation of the nuclear aspect of foreign policy and in providing energy to the Arctic region.


2020 ◽  
Vol 33 (5) ◽  
pp. 480-489
Author(s):  
L. P. Golobokova ◽  
T. V. Khodzher ◽  
O. N. Izosimova ◽  
P. N. Zenkova ◽  
A. O. Pochyufarov ◽  
...  

2011 ◽  
Author(s):  
Chimerebere Onyekwere Nkwocha ◽  
Evgeny Glebov ◽  
Alexey Zhludov ◽  
Sergey Galantsev ◽  
David Kay

2021 ◽  
Vol 13 (10) ◽  
pp. 1884
Author(s):  
Jingjing Hu ◽  
Yansong Bao ◽  
Jian Liu ◽  
Hui Liu ◽  
George P. Petropoulos ◽  
...  

The acquisition of real-time temperature and relative humidity (RH) profiles in the Arctic is of great significance for the study of the Arctic’s climate and Arctic scientific research. However, the operational algorithm of Fengyun-3D only takes into account areas within 60°N, the innovation of this work is that a new technique based on Neural Network (NN) algorithm was proposed, which can retrieve these parameters in real time from the Fengyun-3D Hyperspectral Infrared Radiation Atmospheric Sounding (HIRAS) observations in the Arctic region. Considering the difficulty of obtaining a large amount of actual observation (such as radiosonde) in the Arctic region, collocated ERA5 data from European Centre for Medium-Range Weather Forecasts (ECMWF) and HIRAS observations were used to train the neural networks (NNs). Brightness temperature and training targets were classified using two variables: season (warm season and cold season) and surface type (ocean and land). NNs-based retrievals were compared with ERA5 data and radiosonde observations (RAOBs) independent of the NN training sets. Results showed that (1) the NNs retrievals accuracy is generally higher on warm season and ocean; (2) the root-mean-square error (RMSE) of retrieved profiles is generally slightly higher in the RAOB comparisons than in the ERA5 comparisons, but the variation trend of errors with height is consistent; (3) the retrieved profiles by the NN method are closer to ERA5, comparing with the AIRS products. All the results demonstrated the potential value in time and space of NN algorithm in retrieving temperature and relative humidity profiles of the Arctic region from HIRAS observations under clear-sky conditions. As such, the proposed NN algorithm provides a valuable pathway for retrieving reliably temperature and RH profiles from HIRAS observations in the Arctic region, providing information of practical value in a wide spectrum of practical applications and research investigations alike.All in all, our work has important implications in broadening Fengyun-3D’s operational implementation range from within 60°N to the Arctic region.


Marine Drugs ◽  
2011 ◽  
Vol 9 (11) ◽  
pp. 2423-2437 ◽  
Author(s):  
Samuel Abbas ◽  
Michelle Kelly ◽  
John Bowling ◽  
James Sims ◽  
Amanda Waters ◽  
...  

2017 ◽  
Author(s):  
Roberto Salzano ◽  
Antonello Pasini ◽  
Antonietta Ianniello ◽  
Mauro Mazzola ◽  
Rita Traversi ◽  
...  

Abstract. The estimation of radon progeny in the Arctic region represents a scientific challenge due to the required low limit of detection in consideration of the limited radon emanation associated with permafrost dynamics. This preliminary study highlighted, for the first time, the possibility to monitor radon progeny in the Arctic region with a higher time resolution. The composition of the radon progeny offered the opportunity to identify air masses dominated by long-range transport, in presence or not of near-constant radon progeny instead of long and short lived progenies. Furthermore, the different ratio between radon and thoron progenies evidenced the contributions of local emissions and atmospheric stability. Two different emanation periods were defined in accordance to the permafrost dynamics at the ground and several accumulation windows were recognized coherently to the meteo-climatic conditions occurring at the study site.


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