Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Discrimination between radar targets and deception jamming in distributed multiple-radar architectures

© The Institution of Engineering and Technology
Received 28/10/2016, Accepted 12/02/2017, Revised 04/02/2017, Published 21/02/2017

This study considers the problem of deception electronic counter-countermeasure (ECCM) in distributed multiple-radar architectures. To discriminate deception targets from the detected targets, a two-block detection/discrimination ECCM scheme is proposed. The first block is devoted to the detection task, which is achieved by the non-coherent accumulation detector. If a target is declared, the second block is performed to discriminate between radar targets and deception jamming, exploiting the difference that the jamming signal vectors always exist in a rank one subspace and that the target signal vectors randomly distribute in the whole space. The target discriminator in the Neyman–Pearson sense is developed based on the generalised likelihood ratio test in classical linear models. Furthermore, the analytical expression for the probability of correctly discriminating radar targets is derived. An iteratively censored procedure is established to estimate the jamming subspace in real time. Finally, simulation results verify the feasibility of the new discriminator, and its performance due to the spatial correlation of radar targets, the signal-to-noise ratio, and the geometric spread are covered.

Inspec keywords: jamming; probability; object detection; radar detection; iterative methods; statistical testing

Other keywords: spatial radar target correlation; deception electronic counter-countermeasure problem; jamming signal vectors; two-block discrimination ECCM scheme; generalised likelihood ratio test; jamming subspace estimation; target signal vectors; deception jamming; geometric spread; two-block detection ECCM scheme; noncoherent accumulation detector; target discriminator; Neyman-Pearson sense; distributed multiple-radar architectures; signal-to-noise ratio

Subjects: Radar theory; Interpolation and function approximation (numerical analysis); Electromagnetic compatibility and interference; Other topics in statistics; Signal detection; Radar equipment, systems and applications

References

    1. 1)
      • 39. Richards, M.A.: ‘Fundamentals of radar signal processing’ (McGraw-Hill, New York, 2014, 2nd edn.).
    2. 2)
      • 40. Castaño-Martínez, A., López-Blázquez, F.: ‘Distribution of a sum of weighted central chi-square variables’, Commun. Stat. Theory Methods, 2005, 34, (3), pp. 515–524.
    3. 3)
      • 8. Wang, P., Li, H.-B., Himed, B.: ‘A parametric moving target detector for distributed MIMO radar in non-homogeneous environment’, IEEE Trans. Signal Process., 2013, 51, (9), pp. 2282–2294.
    4. 4)
      • 24. Greco, M., Gini, F., Farina, A.: ‘Radar deception and classification of jamming signals belonging to a cone class’, IEEE Trans. Signal Process., 2008, 56, (5), pp. 1984–1993.
    5. 5)
      • 12. Spezio, A.E.: ‘Electronic warfare systems’, IEEE Trans. Microw. Theory Tech., 2012, 50, (3), pp. 633–644.
    6. 6)
      • 27. Yang, L., Sun, Z.-K.: ‘Identification of false targets in bistatic radar system’. Proc. IEEE NAECON, Dayton, OH, 1997, vol. 2, pp. 878–883.
    7. 7)
      • 19. Huang, C., Chen, Z.-M., Duan, R.: ‘Novel discrimination algorithm for deceptive jamming in polarimetric radar’. Proc. Int. Conf. on Information Technology and Software Engineering, Berlin, Heidelberg, 2013, pp. 359–365.
    8. 8)
      • 11. Godrich, H., Haimovich, A.M., Blum, R.S.: ‘Target localization accuracy gain in MIMO radar-based systems’, IEEE Trans. Inf. Theory, 56, (6), pp. 2783–2803.
    9. 9)
      • 33. Zhao, S.-S., Zhang, L.-R., Zhou, Y., et al: ‘Signal fusion-based algorithms to discriminate between radar targets and deception jamming in distributed multiple-radar architectures’, IEEE Sensors J., 2015, 15, (11), pp. 6697–6706.
    10. 10)
      • 35. Brown, D.R., Poor, H.V.: ‘Time-slotted round-trip carrier synchronization for distributed beamforming’, IEEE Trans. Signal Process., 2008, 56, (11), pp. 5630–5643.
    11. 11)
      • 30. Butt, F.A., Naqvi, I.H., Najam, A.I.: ‘Radar ECCM against deception jamming: a novel approach using bi-static and mono-static radars’. Proc. INMIC, Islamabad, 2012, pp. 137–141.
    12. 12)
      • 26. Stavroulakis, P., Farsaris, N., Xenos, T.D.: ‘Anti-jamming transmitter independent radar networks’. Proc. ICSCN, Chennai, 2008, pp. 269–273.
    13. 13)
      • 38. Ristic, B., Clark, D.E., Gordon, N.: ‘Calibration of multi-target tracking algorithms using non-cooperative targets’, IEEE J. Sel. Topics Signal Process., 2013, 7, (3), pp. 390–398.
    14. 14)
      • 32. Zhao, S.-S., Zhang, L.-R., Zhou, Y., et al: ‘Discrimination of active false targets in multistatic radar using spatial scattering properties’, IET Radar Sonar Navig., 2016, 10, (5), pp. 817–826.
    15. 15)
      • 2. Godrich, H., Petropulu, A.P., Poor, H.V.: ‘Sensor selection in distributed multiple-radar architectures for localization: a knapsack problem formulation’, IEEE Trans. Signal Process., 2012, 60, (1), pp. 247–260.
    16. 16)
      • 3. Fishler, E., Haimovich, A.M., Blum, R.S., et al: ‘MIMO radar: an idea whose time has come’. Proc. IEEE Radar Conf., Philadelphia, 2004, pp. 71–78.
    17. 17)
      • 9. Lehmann, N.H., Fishler, E., Haimovich, A.M., , et al: ‘Evaluation of transmit diversity in MIMO-radar direction finding’, IEEE Trans. Signal Process., 2007, 55, (5), pp. 2215–2225.
    18. 18)
      • 17. Akhtar, J.: ‘Orthogonal block coded ECCM schemes against repeat radar jammers’, IEEE Trans. Aerosp. Electron. Syst., 2009, 45, (3), pp. 1218–1226.
    19. 19)
      • 31. Zhou, S.-H., Liu, H.-W., Zhao, Y.-B., et al: ‘Target spatial and frequency scattering diversity property for diversity MIMO radar’, Signal Process., 2011, 91, (2), pp. 269–276.
    20. 20)
      • 36. Wang, W.-Q.: ‘GPS-based time & phase synchronization processing for distributed SAR’, IEEE Trans. Aerosp. Electron. Syst., 2009, 45, (3), pp. 1040–1051.
    21. 21)
      • 7. He, Q., Lehmann, N.H., Blum, R.S., et al: ‘MIMO radar moving target detection in homogeneous clutter’, IEEE Trans. Aerosp. Electron. Syst., 2010, 46, (3), pp. 1290–1301.
    22. 22)
      • 4. Fishler, E., Haimovich, A.M., Blum, R.S., et al: ‘Spatial diversity in radars-models and detection performance’, IEEE Trans. Signal Process., 2006, 54, (3), pp. 823–838.
    23. 23)
      • 28. Zhao, Y.-L., Wang, X.-S., Wang, G.-Y., et al: ‘Tracking technique for radar network in the presence of multi-range-false-target deception jamming’, Acta Electron. Sin., 2007, 35, (3), pp. 454–458.
    24. 24)
      • 22. Rao, B., Xiao, S.-P., Wang, X.-S.: ‘Joint tracking and discrimination of exoatmospheric active decoys using nine-dimensional parameter- augmented EKF’, Signal Process., 2011, 91, (10), pp. 2247–2258.
    25. 25)
      • 1. Godrich, H., Petropulu, A.P., Poor, H.V.: ‘Power allocation strategies for target localization in distributed multiple-radar architectures’, IEEE Trans. Signal Process., 2011, 59, (7), pp. 3226–3240.
    26. 26)
      • 37. Li, W., Leung, H., Zhou, Y.: ‘Space-time registration of radar and ESM using unscented Kalman filter’, IEEE Trans. Aerosp. Electron. Syst., 2004, 40, (3), pp. 824–836.
    27. 27)
      • 18. Zhang, J.-D., Zhu, D.-Y., Zhang, G.: ‘New antivelocity deception jamming technique using pulses with adaptive initial phases’, IEEE Trans. Aerosp. Electron. Syst., 2013, 49, (2), pp. 1290–1300.
    28. 28)
      • 16. Liu, N., Zhao, S.-S., Zhang, L.-R.: ‘A radar ECCM scheme based on full-rate orthogonal pulse block’, J. Comput. Inf. Syst., 2013, 9, (24), pp. 9771–9779.
    29. 29)
      • 6. Chernyak, V.S.: ‘Fundamentals of multisite radar systems: multistatic radars and multiradar systems’ (CRC Press, London, UK, 1998).
    30. 30)
      • 25. Bandiera, F., Farina, A., Orlando, D., et al: ‘Detection algorithms to discriminate between radar targets and ECM signals’, IEEE Trans. Signal Process., 2010, 58, (12), pp. 5984–5993.
    31. 31)
      • 20. Rao, B., Zhao, Y.-L., Xiao, S.-P., et al: ‘Discrimination of exo-atmospheric active decoys using acceleration information’, IET Radar Sonar Navig., 2010, 4, (4), pp. 626–638.
    32. 32)
      • 14. Farina, A.: ‘Electronic counter-countermeasures’, in Skolnik, M. (Ed.): ‘Radar handbook’ (McGraw-Hill, New York, 2008, 3rd edn.).
    33. 33)
      • 13. Poisel, R.A.: ‘Information warfare and electronic warfare systems’ (Artech House, Norwood, MA, 2013).
    34. 34)
      • 23. Greco, M., Gini, F., Farina, A.: ‘Combined effect of phase and RGPO delay quantization on jamming signal spectrum’. Proc. IEEE Int. Radar Conf., Arlington, VA (USA), 2005, pp. 37–42.
    35. 35)
      • 5. Haimovich, A.M., Blum, R.S., Cimini, L.J., et al: ‘MIMO radar with widely separated antennas’, IEEE Signal Process. Mag., 2008, 25, (1), pp. 116–129.
    36. 36)
      • 10. Bekkerman, I., Tabrikian, J.: ‘Target detection and localization using MIMO radars and sonars’, IEEE Trans. Signal Process., 2006, 54, (10), pp. 3873–3883.
    37. 37)
      • 34. Zhao, S.-S., Liu, N., Zhang, L.-R., et al: ‘Discrimination of deception targets in multistatic radar based on clustering analysis’, IEEE Sensors J., 2016, 16, (8), pp. 2500–2508.
    38. 38)
      • 21. Rao, B., Xiao, S.-P., Wang, X.-S., et al: ‘Maximum likelihood approach to the estimation and discrimination of exoatmospheric active phantom tracks using motion features’, IEEE Trans. Aerosp. Electron. Syst., 2012, 48, (1), pp. 794–819.
    39. 39)
      • 29. Lv, B., Song, Y., Zhou, C.-Y.: ‘Study of multistatic radar against velocity-deception jamming’. Proc. ICECC, Ninbo, 2011, pp. 1044–1047.
    40. 40)
      • 15. Berger, S.D.: ‘Digital radio frequency memory linear range gate stealer spectrum’, IEEE Trans. Aerosp. Electron. Syst., 2003, 39, (2), pp. 725–735.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rsn.2016.0540
Loading

Related content

content/journals/10.1049/iet-rsn.2016.0540
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address