Spectrum Modulation of Smart-Surfaces for Ultra High Frequency Radars

  • Kai Liu
  • Yang WangEmail author
  • Qilong Song
  • Xi Liao
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)


Smart surfaces are reconfigurable meta-materials whose electromagnetic characteristics can be altered for applications such as remote identification, stealth, etc. This paper introduces the spectrum modulation of smart-surfaces for long range radars. Applying controlling signals onto the tunable lumped elements loaded on smart-surfaces, modulations can be achieved on reflecting signals illuminating on smart surfaces. Changing the spectral characteristics of the modulated signals, radar receivers can only detect the limited information of the target. This paper introduces the operation mechanism of smart surfaces and analyzes two specific modulating signals, the square wave signal and the pseudo-random Gaussian white noise signal. The spectrum of reflecting signals will change accordingly, making it difficult for the radar receiver to detect. Simulations and results show that the proposed method can change the reflecting echo of the radar and reduce the probability of the target being detected.


Radar Cross-Section (RCS) Spectrum modulation Metamaterial Remote identifications 


  1. 1.
    Mahafza, B.R.: Radar Systems Analysis and Design Using MATLAB[M], 3rd edn. CRC Press, Inc. (2013)Google Scholar
  2. 2.
    Knott, E.F., Tuley, M.T., Shaeffer, J.F.: Radar Cross Section[M], 2nd edn. Norwood, Artech House (1993)Google Scholar
  3. 3.
    Fante, R.L., Mccormack, M.T.: Reflection properties of the Salisbury screen[J]. Antennas Propag. IEEE Trans. 36(10), 1443–1454 (1988)CrossRefGoogle Scholar
  4. 4.
    Tennant, A., Chambers, B.: A single-layer tunable microwave absorber using an active FSS[J]. Microw. Wirel. Compon. Lett. IEEE 14(1), 46–47 (2004)CrossRefGoogle Scholar
  5. 5.
    Paquay, M., Iriarte, J.C., Ederra, I., et al.: Thin AMC structure for radar cross-section reduction[J]. IEEE Trans. Antennas Propag. 55(12), 3630–3638 (2007)CrossRefGoogle Scholar
  6. 6.
    Pang, Y., Cheng, H., Zhou, Y., et al.: Ultrathin and broadband high impedance surface absorbers based on metamaterial substrates[J]. Opt. Express 20(11), 12515–12520 (2012). Scholar
  7. 7.
    Calaoz, C., Itoh, T.: Electromagnetic Metamaterials: Transmission Line Theory and Microwave Applications[M]. Wiley (2006)Google Scholar
  8. 8.
    Bozzi, M., Perrengrini, L., Weinzierl, J., et al.: Design, fabrication and measurement of frequency-selective surfaces[J]. Opt. Eng. 39(8), 2263–2269 (2000)CrossRefGoogle Scholar
  9. 9.
    Li, W., Chen, M., Zeng, Z., et al.: Broadband composite radar absorbing structures with resistive frequency selective surface: optimal design, manufacturing and characterization[J]Google Scholar
  10. 10.
    Xu, H., Bie, S., Xu, Y., et al.: Broad bandwidth of thin composite radar absorbing structures embedded with frequency selective surfaces[J]. Compos. Part A: Appl. Sci. Manuf. 80, 111–117 (2016)CrossRefGoogle Scholar
  11. 11.
    Wang, C., Chen, M., Lei, H., et al.: Radar stealth and mechanical properties of a broadband radar absorbing structure[J]. Compos. Part B: Eng. 123, 19–27 (2017)CrossRefGoogle Scholar
  12. 12.
    Martinez, I., Panaretos, A., Werner, D.: Reconfigurable ultrathin beam redirecting metasurfaces for RCS reduction[J]. IEEE Antennas Wirel. Propag. Lett. 99, 1 (2017)Google Scholar
  13. 13.
    Wang, Y., Yun, M., Lin, F., et al.: Windmill clutter mitigation using active meta-surfaces[C]. In: IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, pp. 1495–1496. IEEE (2017)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.School of Communication and Information EngineeringChongqing University of Posts and TelecommunicationsChongqingChina

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