Сообщение

Mathematical Modeling of Data Transmission in Ultra-Wideband Real-Time Local Positioning Systems

 
 orcid Anton Belov, orcid Ekaterina Khutornaya

Saint Petersburg State Marine Technical University,
St. Petersburg, 190121, Russian Federation

DOI 10.31854/2307-1303-2025-13-4-31-53

EDN JVKANN

 Full text

 XML JATS

Abstract

Problem statement. Ultra-wideband real-time local positioning systems use pulsed radio signals with an effective spectrum width of at least 500 MHz for data transmission. They feature high localization accuracy (10–30 cm) and transmission speeds (up to 27.24 Mbps, with potential for growth to 480 Mbps). This makes them an essential component in building multi-purpose systems for monitoring the movements of people and vehicles, access control (without barriers), including access to hazardous areas, etc. However, the range of such systems rapidly decreases with increasing bit rate and is also dependent on many other factors. At the same time, a universal system must be fast enough to solve problems such as vehicle collision avoidance, robot control, etc. Under these conditions, the successful application of ultra-wideband solutions requires an operational mechanism for evaluating key system parameters depending on a host of influencing factors, such as signal spectral characteristics, equivalent isotropically radiated power (EIRP) spectral density standards, transceiver settings, permissible bit error rates, etc. The goal of the work is to study the factors influencing the key parameters of ultra-wideband local positioning systems in real time and, based on this, develop an evaluation model of the transmission process as a tool for system design and maintenance. Methods used: analysis of data on influencing factors, construction and superposition of a propagation loss model and radio link budget models, working with a common model, and deriving patterns of key parameter changes at boundary values of the influencing factors. Novelty. A single common model systematizes the factors of two types of models that influence transmission range. Result. A tool for designing and maintaining ultra-wideband real-time local positioning systems has been developed, enabling prediction of their behavior under different combinations of influencing factors, in particular, ensuring maximum range at a given bit rate. Practical significance. The presented study can be used as a methodological support for classes introducing ultra-wideband real-time local positioning systems and estimating their range depending on the transmission rate and other factors.

Keywords

ultra-wideband communications, ultra-wideband signals, real-time local positioning system, equivalent isotropically radiated power spectral density, ultra-wideband real-time local positioning systems, bit error rate

Reference for citation

Belov A., Khutornaya E. Mathematical Modeling of Data Transmission in Ultra-Wideband Real-Time Local Positioning Systems // Telecom IT. 2025. Vol. 13. Iss. 4. PP. 31‒53 (in Russian). DOI: 10.31854/2307-1303-2025-13-4-31-53. EDN: JVKANN

References

1. Kokin S., Simonina O. Ultra-Wideband Communication Channel Modelling and Analyses // Telecom IT. 2024. Vol. 12. Iss. 4. PP. 51‒63. (in Russian) DOI: 10.31854/2307-1303-2024-12-4-51-63. EDN: GSTYER

2. Kalinin V. O., Nosov V. I. Estimation of Short-Impulse UWB Systems' Parameters // Vestnik SibGUTI. 2011. Iss. 3 (15). PP. 73-85. (in Russian) EDN: OJXLHF

3. Dmitriev A. S., Popov M. G., Ryzhov A. I. Increasing Range of Ultrawideband Direct Chaotic Communications // Journal of Communications Technology and Electronics. 2020. Vol. 65. Iss. 9. PP. 1029-1037. (in Russian) DOI: 10.1134/S1064226920080021. EDN: BUYUWG

4. Belov A., Khutornaya E. A Study of Control Methods for Improving Key Parameters of Ultra-Wideband Real-Time Local Positioning Systems // Telecom IT. 2025. Vol. 13. Iss. 3. PP. 48‒69. (in Russian). DOI: 10.31854/2307-1303-2025-13-3-48-69. EDN: YGYFAW

5. Shepeta A. P., Makhlin A. M., L'vovskiy S. A. The Features of UWB Signals Application in Modern Radar Stations // I-Methods. 2016. Vol. 8. Iss. 3. PP. 18-23. (in Russian) EDN: YVSHVB

6. Khalesi H., Ghods V. An Optimized IR UWB Communication System with Interference Reduction on a Narrowband System Using Genetic Algorithm // Wireless Personal Communications. 2021. Iss. 118. PP. 447-460. DOI: 10.1007/s11277-020-08023-5

7. Grakhova E. P., Rommel S., Jurado-Navas A., Sultanov A. Kh., Vegas Olmos J. J., et al. First Experimental Impulse-Radio Ultra-Wideband Transmission under the Russian Spectral Emission Mask // Electronics Letters. 2016. Vol. 52. Iss. 10. PP. 877-879. DOI: 10.1049/el.2016.0635

8. Dhar S. K., Chakraborty Sh., Biswas P. 3.51pJ/pulse/1.2V CMOS IR-UWB Transmitter // International Journal of Computer Science Issues. 2012. Vol. 9. Iss. 6. No 1. PP. 237-243.

9. Tipikin A. A. Modeling of Communication Systems in MATLAB Using the Communications Toolbox Extension Package. Practical Guide in Two Parts. Part 2. Moscow: SOLON-Press Publ., 2022. 384 p. (in Russian) EDN: DXTRFX

10. Shi L., Béchadergue B., Chassagne L., Guan H. Joint Visible Light Sens-ing and Communication Using m-CAP Modulation // IEEE Transactions on Broadcasting. 2022. DOI: 10.1109/TBC.2022.3201649

11. Ryzhov A. I., Lazarev V. A., Mokhseni T. I., Nikerov D. V., Andreev Yu. V., et al. Attenuation of Ultrawideband Chaotic Signals in the 3-5 GHz Range When Passing through Building Walls // Journal of Radio Electronics. 2012. Iss. 5. P. 1. (in Russian) EDN: OYPKLZ

12. Semenko A. I., Smelyanskiy A. A. Attenuation Radio Pass through a Wall // Reports of the Belarusian State University of Informatics and Radioelectronics. 2014. Iss. 7 (85). PP. 78-82. (in Russian) EDN: YZJMDB

13. Krasnov T. V., Kohonkova E. A., Burlakov I. E., Kudinov D. S. Evaluation of the Efficiency of High-Frequency Methods for Distance Determination in Mining Conditions // Journal of Siberian Federal University. Engineering & Technologies. 2023. Vol. 16. Iss. 8. PP. 986-1000. (in Russian) EDN: IZWHYJ

14. Novichkov A. R., Goncharov I. K., Egorushkin A. Yu., Faschevsky N. N. Investigation of UWB RF Signal Technology for Solving Indoor Positioning Problem // Engineering Journal: Science and Innovation. 2021. Iss. 12 (120). (in Russian) DOI: 10.18698/2308-6033-2021-12-2140. EDN: KRDIOU

15. Kislitsin A. A. Complex of Adaptive Compensation of Energy Losses of Signals Due to Frequency Dispersion in Transionospheric Radio Channels of Satellite Communication Systems. Ph. D. Thesis. Yoshkar-Ola, 2020. 157 p. (in Russian)

16. Moshchevikin A., Yekimov D., Gogolev A., Yekimov K., Fedorov A., et al. Accuracy of Distance Measurement Using nanoLOC Technology // Wireless Technologies. 2008. Iss. 3 (12). PP. 48-51. (in Russian) EDN: MTGBZL

 

cc-by This article is distributed under a license Creative Commons Attribution 4.0 License.

cc0  The metadata of the article is distributed under a license CC0 1.0 Universal


 

 
войти

Авторизация