Abstract
The article discusses the expediency of using distributed radars for higher accuracy of small airborne object trajectory measurement in urban environment. For AO detection, we propose a way of using three radar stations built according to the technology of cascaded active-phased waveguide-slot antenna array: two sector-surveillance radar stations and a circular surveillance one. The article discusses simulation model processes the angular and range data obtained from real experiments. The structural scheme of simulation stages is proposed. Simulation model is designed for choosing the parameters of the systems to be developed and for polishing the algorithms of matching the data from three standalone radar stations with an overlap zone, creating a shared information space. The feature of the proposed system is that it allows you to determine the trajectory coordinates of a UAV-like object in a dense urban environment and to specify and simulate the characteristics of such systems at the development stage.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mahafza, B.R.: Radar Systems Analysis and Design Using MATLAB, vol. 3, p. 743. Chapman and Hall/CRC (2016). Available from: https://doi.org/10.1201/b14904
Shishanov, S.V., Myakinkov, A.V.: The system of the circular review for vehicles based on ultra-wideband sensors. J. Russ. Univ. Radioelectron. 2, 55–61 (2015). (In Russ.)
Gimignani, M., Paparo, M., Rossi, D., Scaccianoce, S.: RF design and technology supporting active safety in automotive applications. In: 2013 IEEE 10th International Conference on ASIC, pp. 1–4. IEEE; (2013). Available from: https://doi.org/10.1109/asicon.2013.6811875
Verba, V.S., Merkulov, V.I. (eds.). Estimation of Range and Speed in Radar Systems, p. 3. M. Radiotechnik (2010). (In Russ.)
Ji, Z., Prokhorov, D.: Radar-vision fusion for object classification. In: 2008 11th International Conference on Information Fusion, pp. 1–7 (2008)
Melvin, W.L., Scheer, J.A.: Principles of Modern Radar vol. II: Advanced Techniques, vol. 2, pp. 2300. Scitech Publishing (2013)
Zaitsev, D.V.: Multi-position radar systems. Methods and algorithms for processing information under interference conditions. Radio Engineering, Moscow (2007). (In Russ.)
Raol J.R. Multi-Sensor Data Fusion with MATLAB, p. 534. CRC, (2009). Available from: https://doi.org/10.1201/9781439800058
Nenashev, V.A., Sentsov, A.A., Shepeta, A.P., Formation of radar image the earth's surface in the front zone review two-position systems airborne radar. In: 2019 Wave Electronics and Its Application in Information and Telecommunication Systems (WECONF), pp. 1-5. Saint-Petersburg, Russia (2019). https://doi.org/10.1109/weconf.2019.8840641
Willow, V.S., Tatarsky, B.G. (eds.): Radar systems for aerospace monitoring of the earth’s surface and airspace, p. 576. Monograph M., Radiotekhnika (2014). (In Russ.)
Nenashev, V.A., Shepeta, A.P.: Accuracy characteristics of object location in a two-position system of small onboard radars. Inf. Control Syst. 2, 31–36 (2020). Available from: http://www.i-us.ru/index.php/ius/article/view/4981
Nenashev, V.A., Kryachko, A.F., Shepeta, A.P., Burylev, D.A.: Features of Information Processing in the Onboard Two-Position Small-Sized Radar based on UAVs, pp. 111970X-1–111970X-7. SPIE Future Sensing Technologies, Tokyo, Japan (2019)
Nenashev, V.A., Sentsov, A.A., Shepeta, A.P.: The problem of determination of coordinates of unmanned aerial vehicles using a two-position system ground radar. In: 2018 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF), p. 5. IEEE, (2018). Available from: https://doi.org/10.1109/weconf.2018.8604329
Wang, R., Deng, Y.: Bistatic InSAR. Bistatic SAR System and Signal Processing Technology, pp. 235–275. Springer, Singapore (2017). Available from: https://doi.org/10.1007/978-981-10-3078-9_8
Shepeta A.P., Nenashev V.A.: Modeling algorithm for SAR. In: Proceedings of SPIE Remote Sensing, vol. 9642, pp. 96420X-1–9642OX-8. Toulouse, France (2015). https://doi.org/10.1117/12.2194569
Toro, G.F., Tsourdos, A.: UAV Sensors for Environmental Monitoring, p. 661. MDPI, Belgrade (2018). Available from: https://doi.org/10.3390/books978-3-03842-754-4
Klemm, R. (ed.): Novel Radar Techniques and Applications. Vol 1: Real Aperture Array Radar, Imaging Radar, and Passive and Multistatic Radar, p. 1. Scitech Publishing, London (2017). Available from: https://doi.org/10.1049/sbra512f_pti
Klemm, R. (ed.): Novel Radar Techniques and Applications. Waveform Diversity and Cognitive Radar, and Target Tracking and Data Fusion, p. 2. Scitech Publishing, London (2017)
Sergeev, M.B., Nenashev, V.A., Sergeev, A.M.: Nested code sequences Barker—Mersenne—Raghavarao. Informatsionnoupravliaiushchie sistemy [Information and Control Systems], no. 3, pp. 63–73 (2019). (In Russian). https://doi.org/10.31799/1684-8853-2019-3-63-73
Nenashev, V.A., Sergeev, A.M., Kapranova, E.A.: Research and analysis of autocorrelation functions of code sequences formed on the basis of monocyclic quasi-orthogonal matrices. Informatsionno-upravliaiushchie sistemy [Information and Control Systems], (4), 9–14 (2018). https://doi.org/10.31799/1684-8853-2018-4-9-14
Sergeev, A.M., Nenashev, V.A., Vostrikov, A.A., Shepeta, A.P., Kurtyanik, D.V.: Discovering and analyzing binary codes based on monocyclic quasi-orthogonal matrices. In: Czarnowski, I., Howlett, R., Jain, L. (eds.) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 143, pp 113–123. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-8303-8_10
Sergeev, M.B., Nenashev, V.A., et al.: Baza dannyh harakteristik bespilotnyh letatel'nyh sistem vertoletnogo tipa [Database of characteristics of unmanned aerial systems of helicopter type]. Sertificate of state registration no. 2020621680 (2020)
Nenashev, V.A., et al.: Baza dannyh harakteristik bespilotnyh letatel'nyh sistem samoletnogo tipa [Database of characteristics of unmanned aerial systems of aircraft type]. Sertificate of state registration no. 2020621745 (2020). 25 Sep 2020
Sergeev, M.B., Nenashev, V.A., et al.: Baza dannyh harakteristik bespilotnyh letatel'nyh sistem mul'tikopternogo tipa [Database of characteristics of unmanned aerial systems of multicopter type]. Sertificate of state registration no. 2020621745, (2020)
Acknowledgements
The reported study was funded by RFBR, project number 19-29-06029.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Sergeev, M., Sentsov, A., Nenashev, V., Grigoriev, E. (2021). Triple-Station System of Detecting Small Airborne Objects in Dense Urban Environment. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2765-1_7
Download citation
DOI: https://doi.org/10.1007/978-981-16-2765-1_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2764-4
Online ISBN: 978-981-16-2765-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)