Scientific group “Optoelectronic and microwave remote sensing devices”

Description

Modern technologies involve the creation, development, and improvement of means for remote determination of parameters of the ground and airborne unmanned vehicles.  Airborne vehicles monitor important urban industrial facilities, highways for traffic jams, the state of housing and communal services, deliver mail and parcels, and participate in servicing the tourism sector.  At the same time, flying BTS can also pose a threat to the normal functioning of objects of the national economy, to counter which it is required to determine the parameters of unmanned aerial vehicles.  Ground-based vehicles, mainly vehicles, use radars to automatically control the distance between vehicles, cross-traffic warnings, assist with lane changes, parking, and detect obstacles, pedestrians, and blind spots.  In addition, radars are used by traffic police to ensure traffic safety using administrative measures.

Among the remotely determined parameters of the ground and flying vehicles, the most important are: range, radial speed, the direction of movement, effective dispersion area, azimuth, and elevation.  Various methods can be used to determine the location and radial velocity of objects: ultrasonic, optical lidar, use of video cameras, and microwave. The first three listed principles have a significant drawback is a strong dependence on weather conditions (precipitation, fog), have a small detectable range to the object (ultrasonic and video camera), and have a high cost (optical lidar).  To a certain extent, these methods complement each other, but for these reasons, the microwave radar method is widely recognized as the preferred method.

Other Information

Papers:

  1. Kuptsov V.D., Ivanov S.I., Fedotov A.A., Badenko V.L. (2019) Features of Multi-target Detection Algorithm for Automotive FMCW Radar. Lecture Notes in Computer Science, vol 11660, p 355-364.
  2. Ivanov, S.I., Kuptsov, V.D., Fedotov, A.A.: The signal processing algorithm of automotive FMCW radars with an extended range of speed estimation // International Conference on Emerging Trends in Applied and Computational Physics (ETACP-2019). March, 21-22, 2019 St. Petersburg, Russia. Journal of Physics: Conference Series (2019).
  3. Kuptsov V.D., Ivanov S.I., Fedotov A.A., Badenko V.L. (2019)  Millimeter Wave Radar for Intelligent Transportation Systems: a Case Study of Multi-Target Problem Solution. E3S Web of Conferences vol. 157(2020) Article number 05011, KTTI-2019.
  4. Aladov A.V., Valyukhov V.P., Zakgeim A.L., Kuptsov V.D., Mamoshin A.V., Potapova E.V., Chernyakov A.E., Fotiadi A.E., Optimization of surgical field illumination to maximize the contrast when biological objects being visualized, St. Petersburg Polytechnical State University Journal. Physics and Mathematics. 12 (4) (2019) 76–85.
  5. Aladov, A.V., Valyukhov, V.P., Kuptsov, V.D., et al.: Wireless networks of energy efficient dynamically controlled LED sources // Научно-технические ведомости СПбГПУ. Физико-математические науки. – 2017. – т.10. – №2. – С. 28-36.
  6. Aladov, A.V., Valyukhov, V.P., Kuptsov, V.D. et al.: Special features of radio control link for energy efficient LED light sources // Научно-технические ведомости СПбГПУ. Физико-математические науки. – 2017. – т.10. – №2. – С. 16-27.
  7. Kuptsov, V.D. Noise optimization of surface acoustic wave devices in electronic systems / V.D. Kuptsov // Proc. 2016 IEEE International Ultrasonics Symposium (IUS). – 2016. – P.1–4.
  8. Kuptsov, V.D. Noise Factor Optimization of Surface Acoustic Wave Filters. In Proc. 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO), pp. 76-78., Sevilla, Spain, (2017).
  9. Badenko V., Zotov D., Fedotov. A., Hybrid Processing Of Laser Scanning Data // E3S Web of Conferences. 2018. T . 33, Art No. 01047.
  10. Badenko V., Zotov D., Fedotov. A. Extracting features from laser scanning point cloud // SHS Web of Conferences 44, 00013 (2018).