Noisy Radar Interception Based on Using Detection Theory

Authors

  • Mohammad Lohrasbi  Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran
  • Hojjat Raisee  Department of Electrical Engineering, Shiraz University of Technology, Shiraz, Iran

DOI:

https://doi.org//10.32628/CSEIT195646

Keywords:

Low Probability of Interception, Noisy radar, Detection Theory, MATHEMATICA, Random Noise Radar, SNR, MIMO

Abstract

Low Probability of Interception (LPI) radars are difficult to be detected by interception devices and anti-radiation missiles due to their special properties. Using techniques such as transmission power reduction, these radars significantly reduce the probability of interception for intercept receivers. Noisy radar is a type of Low Probability of Interception (LPI) radars that reduces the probability of interception using a noise-like waveform. This paper intends to study this particular type of radar, and intercept it in intercept receivers. Furthermore, using detection theory, and also known or unknown parameters of the noisy radar's transmitted wave, the probability of interception is studied in these radars.

References

  1. Wang, Yong-Kun, and Shi-You Zheng. "Research on radar task scheduling with power constraint." The Journal of Engineering 2019.19 (2019): 5990-5993.
  2. Hoang, L. M., M. J. Kim, and S-H. Kong. "Deep Learning Approach to LPI Radar Recognition." 2019 IEEE Radar Conference (RadarConf). IEEE, 2019.
  3. Kong, Seung-Hyun, et al. "Automatic LPI radar waveform recognition using CNN." IEEE Access 6 (2018): 4207-4219.
  4. P.E.Pace., Detecting and classifying low probability of intercept radar. Artech House, 2009.
  5. L.Keyu., H.Cheng., et al. "Noise radar interception using the principle of signal matched-phase." IEEE CIE International Conference on Radar (Radar), Vol. 2. IEEE, 2011: 1911-1914.
  6. W.Susek., and S.Bronislaw., "Through-the-wall detection of human activities using a noise radar with microwave quadrature correlator." IEEE Transactions on Aerospace and Electronic Systems, 51.1 (2015): 759-764.
  7. M.Shastry., R.Narayanan., and M.Rangaswamy., "Sparsity-based signal processing for noise radar imaging." IEEE Transactions on Aerospace and Electronic Systems, 51.1 (2015): 314-325.
  8. L.Pralon, B.Pompeo, and J.M.Fortes. "Stochastic analysis of random frequency modulated waveforms for noise radar systems." IEEE Transactions on Aerospace and Electronic Systems, 51.2 (2015): 1447-1461.
  9. D.Palo, Francesco, and G.Galati., "Orthogonal waveforms for multiradar and MIMO radar using noise radar technology." Signal Processing Symposium (SPSympo). IEEE, 2015: 747-751.
  10. L.Konstantin. "Dedicated applications of Noise Radars." 2015 16th International Radar Symposium (IRS),. IEEE, 2015: 895-899.
  11. Narayanan, R. M., Xu, Y., Hoffmeyer, P. D., and Curtis, J. O., “Design performance and applications of a coherent ultra-wideband random noise radar,”Optical Engineering, Vol. 37 No. 6, pp. 1855-1869, June 1998.
  12. Gross, F. B., and Chen, K., “Comparison of detectability of traditional pulsed and spread spectrum radar waveforms in classic passive receivers,” IEEE Trans. on Aerospace and Electronic Systems, Vol. 41, No. 2, pp. 746-751, April 2005.

Downloads

Published

2019-12-30

Issue

Section

Research Articles

How to Cite

[1]
Mohammad Lohrasbi, Hojjat Raisee, " Noisy Radar Interception Based on Using Detection Theory, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 6, pp.323-330, November-December-2019. Available at doi : https://doi.org/10.32628/CSEIT195646