robust filtering
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2021 ◽  
Vol 237 ◽  
pp. 109544
Author(s):  
Gustavo E. Coelho ◽  
Maria Graça Neves ◽  
António Pascoal ◽  
Álvaro Ribeiro ◽  
Peter Frigaard

2021 ◽  
pp. 108153
Author(s):  
Guoliang Li ◽  
Gang Wang ◽  
Yaru Dai ◽  
Qi Sun ◽  
Xinyue Yang ◽  
...  

Author(s):  
R. Safin ◽  
M. Amreev ◽  
T. Pavlova ◽  
E. Temyrkanova ◽  
Y. Garmashova

The paper presents the results of determining the areas of application of a laboratory stand designed for studying and researching CCTV systems. The necessity of research of video cameras of the security alarm system, their testing at the organization of production and expediency of carrying out laboratory works by students of higher education institutions studying security systems is shown. The state of affairs in this area in post-Soviet countries is shown. Some requirements of the State educational standard on informativeness and expansion of opportunities of laboratory stands are given. The input parameters necessary for the design of video camera research stands are considered. The results of the study of the developed laboratory stand for the study and study of security television systems and the definition of areas for its application are presented. The structure of the stand and its parts is proposed. Developed recommendations for its use are given. The experience of conducting laboratory work on the study of the characteristics of security alarm cameras is analyzed. The possibility of studying robust filtering on the noise immunity of the video system, the influence of the illumination spectrum on the main qualitative characteristics of the video camera using the proposed stand is shown. A list of suggested to run the stand includes laboratory work “Studying the parameters, operation modes and configuration of video surveillance system NOVUS”, “the Study of possibilities of various types of cameras when changing the light and characterization of the sensitivity of various types of cameras, Definition of focal length, angle of view and resolution of different types of cameras and lenses, Definition of the working area of observation, the far and the dead zone for various types of cameras and lenses”, "Determination of conditionally dead zones for different recording speeds of the DVR and at different focal lengths” and" Determination of the volume and quality of recorded information from the value of the recording speed of the DVR”, as well as research works “The signal processing with variable spectrum”, “the Influence of robust filtering for noise immunity video”, “Influence of illumination spectrum on the main qualitative characteristics of the camera” and “Comparative performance of analog and digital cameras.”


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1250
Author(s):  
Daniel Medina ◽  
Haoqing Li ◽  
Jordi Vilà-Valls ◽  
Pau Closas

Global navigation satellite systems (GNSSs) play a key role in intelligent transportation systems such as autonomous driving or unmanned systems navigation. In such applications, it is fundamental to ensure a reliable precise positioning solution able to operate in harsh propagation conditions such as urban environments and under multipath and other disturbances. Exploiting carrier phase observations allows for precise positioning solutions at the complexity cost of resolving integer phase ambiguities, a procedure that is particularly affected by non-nominal conditions. This limits the applicability of conventional filtering techniques in challenging scenarios, and new robust solutions must be accounted for. This contribution deals with real-time kinematic (RTK) positioning and the design of robust filtering solutions for the associated mixed integer- and real-valued estimation problem. Families of Kalman filter (KF) approaches based on robust statistics and variational inference are explored, such as the generalized M-based KF or the variational-based KF, aiming to mitigate the impact of outliers or non-nominal measurement behaviors. The performance assessment under harsh propagation conditions is realized using a simulated scenario and real data from a measurement campaign. The proposed robust filtering solutions are shown to offer excellent resilience against outlying observations, with the variational-based KF showcasing the overall best performance in terms of Gaussian efficiency and robustness.


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