Radio Communication Channel Analysis of UAV

Author(s):  
Pavel Kozak ◽  
Vaclav Platenka ◽  
Marie Richterova
2015 ◽  
Vol 9 (5) ◽  
pp. 223-231 ◽  
Author(s):  
Linchao Liao ◽  
Robert J. Drost ◽  
Zening Li ◽  
Tian Lang ◽  
Brian M. Sadler ◽  
...  

2021 ◽  
Vol 2131 (4) ◽  
pp. 042096
Author(s):  
D N Roenkov ◽  
P A Plekhanov

Abstract The research purposeis to develop an approach to assessing the reliability of a train radio communication channel based on the representation of a radio communication network in the form of a model that includes both traditional elements (various types of equipment, a wire channel) and a radio channel, which is proposed to be described by the availability of radio coverage, which varies depending on the location of the mobile subscriber. In the research methods of the theory of reliability, and, in particular, the assessment of the availability factor of the elements of the radio communication system and communication channels, dynamically changing during the movement of the mobile radio station. In addition, to assess the energy of radio channels, the theory of radio wave propagation was applied, including on the basis of industry recommendations for calculating radio communication networks of JSC Russian Railways. As result of the research, a method was proposed for assessing the dependence of the reliability of a train radio communication channel (in terms of readiness) on the track coordinate. In this case, the radio communication channel dynamically changes the composition of the elements when the mobile subscriber moves along the railway section. Simultaneously, for each point of the section, the calculation formula is also dynamically changed, which makes it possible to find the value of the readiness of the communication channel. The proposed approach allows to identify the sections of technological radio communication networks that are weakest from the point of view of communication reliability and take this information into account when planning work to improve the reliability of communication networks.


2018 ◽  
Vol 3 (4) ◽  
pp. 16
Author(s):  
Stiliyan Yordanov Georgiev ◽  
Hristo Gospodinov Kolev ◽  
Petko Alexandrov Todorov

The remote sensor networks are used for collecting area-specific data and retransmit them through radio for further processing. For proper mounting and initial functional test of sensors as part of a larger sensor field system is comfortably to use portable bridge devise for mounting and local adjustment of sensor system. The devise translates the sensor system radio communication channel to the widely used Bluetooth standard. Such way any available smart devise can be used as input-output terminal for communication and adjustment of sensors part of the sensor system. The created radio bridge device is compact, functional, cheap and a useful addition to any LoRa sensor system.


Author(s):  
M.S. Tokar ◽  
◽  
I.V. Ryabov ◽  

In radio communication systems, when implementing coherent types of reception, it is assumed that the receiver knows information about the state of the communication channel, which is achieved by introducing signal redundancy (pilot signals). The frequency of sending pilot signals depends on factors that change the state of the communication channel, one of which is the high speed of movement of mobile stations. The use of pilot signals not only hinders the efficient use of the radio frequency resource, but also, in the case of fast fading, does not allow the channel to be estimated and tracked with the required accuracy. These disadvantages can be eliminated by using the differential transmission method, for the implementation of which there is no need to know information about the state of the channel. The application of the principles of differential transmission to space-time coding does not find sufficiently effective solutions that combine low computational complexity and energy efficiency of differential coding methods.


Corpora ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. 231-258 ◽  
Author(s):  
Dawn Archer ◽  
Cliff Lansley

In this paper, we propose a Six Channel Analysis System (SCAnS) for the (semi-)automatic investigation of potential deception across all communication channels. SCAnS builds on our current system: Six Channel Analysis in Realtime (SCAnR). SCAnR users are trained to code – as Points of Interest (PIns) – relevant occurrences of twenty-seven criteria relating to the six channels, when they appear to point to inconsistencies with respect to the speaker's account (the story they are trying to convey), their apparent baseline and the context. Our experiences to date confirm the view that multi-channel approaches have the potential to lead to higher accuracy rates of deception detection than is possible when using individual methods of detection and/or when focussing on one communication channel independently ( Vrij et al., 2000 : 257), especially when combined with cognitive elicitation strategies. However, we recognise the importance of (in)validating the relevance of the twenty-seven criteria through ongoing research. SCAnS will provide a (semi-)automated means of achieving this. Given our audience, we focus on the usefulness of content-analysis tools like Wmatrix ( Rayson, 2008 ) for this purpose. More broadly, our research has implications for the analysis of data in forensic contexts, across all available channels of communication, and for the coding of (para)linguistic features.


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