access icon free Target identification using bistatic high-resolution range profiles

A novel target identification scheme that utilises high-resolution range profiles (HRRPs), which are obtained using bistatic (BS) radar (BS-HRRPs) and four-dimensional (4D) parameter sets (PSs), is described. These PSs uniquely determine the BS-HRRPs. In the proposed scheme, a new feature to cope with the scale variances of the BS-HRRPs is devised by using the RELAX algorithm and the resampling process. In addition, a proper classifier to effectively exploit both the BS-HRRPs and 4D PSs is designed to improve the BS identification capability.

Inspec keywords: radar target recognition; radar resolution

Other keywords: resampling process; four-dimensional PS; RELAX algorithm; BS identification capability improvement; 4D parameter set; target identification scheme; bistatic radar high-resolution range profile; BS-HRRP signal model

Subjects: Signal processing and detection; Radar theory

References

    1. 1)
      • 8. Wilcher, J., Melvin, W.L., Lanterman, A.: ‘An information theoretical approach to sensor placement in a multi-sensor automatic target recognition environment’. Proc. IEEE Radar Conf., 2015, pp. 156161.
    2. 2)
      • 3. Du, L., Liu, H., Bao, Z., et al: ‘Radar HRRP target recognition based on higher order spectra’, IEEE Trans. Signal Process, 2005, 53, (7), pp. 23592368.
    3. 3)
      • 16. Luo, S., Li, S.: ‘A novel approach of automatic target recognition using high resolution radar range profiles’. Proc. IEEE 2007 Int. Symp. Microwave Antenna EMC Tech. Wireless Communications, 2007, pp. 852855.
    4. 4)
      • 5. Lee, S.-J., Choi, I.-S., Cho, B.L.: ‘Performance enhancement of target recognition using feature vector fusion of monostatic and bistatic radar’, J. Electromag. Waves Applic., 2014, 144, pp. 291302.
    5. 5)
      • 2. Kim, K.-T., Jeong, H.-R.: ‘Identification of multiaspect radar signals based on the feature space trajectory concept’, IEEE Trans. Antennas Propag., 2005, 53, (11), pp. 38113821.
    6. 6)
      • 1. Kim, K.-T., Seo, D.-K., Kim, H.-T.: ‘Efficient radar target recognition using the MUSIC algorithm and invariant features’, IEEE Trans. Antennas Propag., 2002, 50, (3), pp. 325337.
    7. 7)
      • 14. Bae, J.-H., Kang, B.-S., Lee, S.-H., et al: ‘Bistatic ISAR reconstruction using sparse-recovery-interpolation of missing data’, IEEE Trans. Aerosp. Electron. Syst., 2016, 52, (3), pp. 11551167.
    8. 8)
      • 15. Lee, S.-J., Jeong, S.-J., Kang, B.-S., et al: ‘Classification of shell-shaped targets using RCS and fuzzy classifier’, IEEE Trans. Antennas Propag., 2016, 64, (4), pp. 14341443.
    9. 9)
      • 13. Chen, V.-C., Martorella, M.: ‘Inverse synthetic aperture radar imaging: principles, algorithms and applications’ (SciTech Publishing, 2014).
    10. 10)
      • 11. Turk, M.A., Pentland, A.P.: ‘Face recognition using eigenfaces’. Proc. IEEE CVPR, 1991, pp. 586591.
    11. 11)
      • 12. Theodoridis, S., Koutroumbas, K.: ‘Pattern recognition’ (Academic Press, 1999).
    12. 12)
      • 10. Bi, Z., Li, J., Liu, Z.-S.: ‘Super resolution SAR imaging via parametric spectral estimation methods’, IEEE Trans. Aerosp. Electron. Syst., 1999, 35, (1), pp. 267281.
    13. 13)
      • 9. Li, J., Stoica, P.: ‘Efficient mixed-spectrum estimation with applications to target feature extraction’, IEEE Trans. Signal Process., 1996, 44, (2), pp. 281295.
    14. 14)
      • 7. Lee, S.-J., Lee, S.-J., Choi, I.-S., et al: ‘Optimum bistatic angle extraction using compressed time-frequency feature vectors’, Int. J. Control Autom., 2014, 7, (4), pp. 373384.
    15. 15)
      • 6. Stinco, P., Greco, M.S., Gini, F., et al: ‘Non-cooperative target recognition in multistatic radar systems’, IET Radar Sonar Navig., 2014, 8, (4), pp. 396405.
    16. 16)
      • 17. Park, J.-I., Kim, K.-T.: ‘Efficient construction of training database for identification of aircraft HRR profiles’. Proc. IEEE Radar Conf., 2010, pp. 590595.
    17. 17)
      • 4. Pisane, J., Azarian, S., Lesturgie, M., et al: ‘Automatic target recognition for passive radar’, IEEE Trans. Aerosp. Electron. Syst., 2014, 50, (1), pp. 371392.
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