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NORMA: Imaging Noise Radar Network for Covert Air and Maritime Border Security

  • S. TomeiEmail author
  • D. Staglianò
  • K. Lukin
  • V. Palamarchuk
  • S. Lukin
Conference paper
  • 29 Downloads
Part of the NATO Science for Peace and Security Series B: Physics and Biophysics book series (NAPSB)

Abstract

The NORMA project aims at designing and analyzing a imaging noise radar working in network configuration for covert, high spatial resolution air and maritime border surveillance. The main NATO military benefits of the NORMA system consist of the capability of the proposed solution to have an all-weather all-day 24-h covert and LPI surveillance system with high detection, tracking and imaging performance. The system will be also designed to achieve low RCS and high resolution range profile measurements. Particularly, the multistatic and MIMO imaging capabilities of the system allow the target to be observed at different viewing angles providing full shape RCS and imaging and consequently better classification and recognition performance. A technological demonstrator composed of two noise imaging radars in a network will be designed and developed. A system demonstration to assess the performance of the proposed solutions will be performed at the end of the third year of the project. The present paper aims at showing the idea behind the proposed solution and the main advantages that border authorities can benefit of. In particular, the paper will focus on how the noise waveforms will be generated and what radar mode will be used to achieve the desired objectives.

Keywords

Noise radar SAR imaging Ground noise SAR Noise waveforms PRBS Noise SAR interferometer Stepped frequency noise radar 

Notes

Acknowledgment

The authors would like to thank all the other team members for their current and future work within the SPS NATO Projects G5465: S. Lischi, D. Petri, R. Massini, E. Giusti, S. Gelli, A. Lupidi, D.Tatyanko, O. Zemlyany, P. Sushchenko, A. Shelekhov, L. Yurchenko, Yu. Shyian, and E. Mishchenko.

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Copyright information

© Springer Nature B.V. 2020

Authors and Affiliations

  • S. Tomei
    • 1
    Email author
  • D. Staglianò
    • 2
  • K. Lukin
    • 3
  • V. Palamarchuk
    • 3
  • S. Lukin
    • 3
  1. 1.CNIT RaSS: National Interuniversitary Consortium for Telecommunications, Radar and Surveillance SystemPisaItaly
  2. 2.ECHOES s.r.l.PisaItaly
  3. 3.IRE NASUKharkivUkraine

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