Skip to main content
SpringerLink
Log in

Influence of the Estimation Accuracy of the Frequency Characteristics of Radar Targets on the Results of the Geometric Shape Identification of Local Reflectors

  • RADIO MEASUREMENTS
  • Published:
Measurement Techniques Aims and scope

This article discusses the issues of introducing broadband technologies to civil and special-purpose radar systems. The popularity of these technologies in terms of solving numerous practical problems determines the relevance of research related to a detailed analysis of long-range portraits of objects observed at a new qualitative level. Using the results of broadband radar sounding, this study analyzes the influence of the systematic error of the measuring channel on the reliability of the identification of the geometric shape of the local reflectors of observation objects. A broadband radar-measuring channel with a linear frequency modulation of the signal is created on the basis of the generalized heterodyning method. Then, a technique for compensating systematic measurement errors for a given type of channel is proposed using calibration spheres. The systematic error in measuring the frequency characteristics (FCs) of the sphere is estimated, and an error indicator for estimating the FCs of objects is proposed. Furthermore, the dependence of the statistical indicators of the identification results of the geometric shape of local reflectors on the specified indicator is presented. The possibility of identifying the geometric shape of local reflectors through the parameters of their FCs is confirmed experimentally. The results obtained can be used to assess the reliability of the identification of the geometric shape of local reflectors at the calibration stage of the measuring channel and to make a decision on the feasibility of implementing algorithms for the identification of the geometric shape of local reflectors on an existing radiolocation station.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. J. Eaves and E. Reedy, Principles of Modern Radar, Springer US (2012).

  2. M. Skolnik, Radar Handbook, McGraw-Hill (2008).

  3. M. Jankiraman, FMCW Radar Design, Artech House (2018).

  4. R. Cetiner, Q. Cetintepe, S. Demir, and A. Hizal, “Prospects of FMCW-based frequency diverse array radar,” J. Eng., 11, No. 21, 7299–7303 (2019), https://doi.org/10.1049/joe.2019.0458.

    Article  Google Scholar 

  5. M. Kang, B. Kim, H. Kim, and S. Park, “A Study on pulsed-LFM and pulsed-NLFM waveforms for radar systems,” 2019 Int. Conf. on Information and Communication Technology Convergence, Jeju Island, Korea (South) (2019), pp. 983–985, https://doi.org/10.1109/ICTC46691.2019.8940010.

  6. M. Klotz and H. Rohling, “24 GHz radar sensors for automotive applications,” Int. Conf. on Microwaves and Radar, MIKON2000, Wroylaw, Poland (2000), pp. 359–362, https://doi.org/10.1109/MIK0N.2000.913944.

  7. H. Rohling, M. Meinecke, and R. Mende, “A 77 GHz automotive radar system for AICC applications,” Int. Conf. on Microwaves and Radar, Krakow, Poland (1998), pp. 273–277, https://doi.org/10.1109/RADAR.2000.851845.

  8. L. Junya and L. Yue, “Data augmentation based on attributed scattering centers to train robust CNN for SAR ATR,” Access IEEE, 7, 25459–25473 (2019), https://doi.org/10.1109/ACCESS.2019.2900522.

    Article  Google Scholar 

  9. Y. Zou and X. Gao, “A high precision GTD parameter estimating method,” 8th Int. Congr. on Image and Signal Processing, Shenyang, China, Oct. 14–16, 2015, pp. 1220–1224, https://doi.org/10.1109/CISP2015.7408067.

  10. H. Yan and L. Sheng, “Monostatic GTD model for double scattering due to specular reflections or edge diffractions,” IEEE Int. Conf. on Computational Electromagnetics, Chengdu, China, March 26–28, 2018, pp. 1–3, https://doi.org/10.1109/COMPEM.2018.8496539.

  11. D. Dai and J. Zhang, “Superresolution polarimetric ISAR imaging based on 2D CP-GTD model,” J. Sens., 1, No. 11, 4–16 (2015), https://doi.org/10.1155/2015/293141.

    Article  Google Scholar 

  12. J. Wang and E. Shaoming, “A GTD model and state space approach based method for extracting the UWB scattering center of moving target,” Sci. China, 54, No. 1, 182–196 (2011), https://doi.org/10.1007/s11432-010-4137.

    Article  MathSciNet  MATH  Google Scholar 

  13. Y. Cong and B. Chen, “Nonparametric Bayesian attributed scattering center extraction for synthetic aperture radar targets,” IEEE T. Signal Proces, 64, No. 18, 4723–4736 (2016), https://doi.org/10.1109/TSP.2016.2569463.

    Article  ADS  MathSciNet  MATH  Google Scholar 

  14. D. Barrio and C. Matran, “On approximate validation of models: a Kolmogorov–Smirnov-based approach,” TEST, No. 1, 23–28 (2019), https://doi.org/10.1007/s11749-019-00691-1.

  15. E. Knott, J. Shaeffer, and M. Tuley, Radar Cross Section Measurements, SciTech Publishing (2006).

  16. E. Knott, J. Shaeffer, and M. Tuley, Radar Cross Section, SciTech Publishing (2004).

Download references

Author information

Authors and Affiliations

  1. Mozhaisky Military Space Academy, St. Petersburg, Russia

    V. V. Neelov & S. E. Shaldaev

Authors
  1. V. V. Neelov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. E. Shaldaev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to V. V. Neelov.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 7, pp. 55–61, July, 2020.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Neelov, V.V., Shaldaev, S.E. Influence of the Estimation Accuracy of the Frequency Characteristics of Radar Targets on the Results of the Geometric Shape Identification of Local Reflectors. Meas Tech 63, 573–579 (2020). https://doi.org/10.1007/s11018-020-01825-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11018-020-01825-w

Keywords

Search

Navigation