access icon free Performance enhancement of approximated model based near-field sources localisation techniques

© The Institution of Engineering and Technology
Received 05/01/2017, Accepted 23/04/2017, Revised 03/04/2017, Published 25/04/2017

Most of the existing near-field sources localisation methods are based on an approximated model. Making use of such an approximation brings degradation in the estimation accuracy. In this study, the authors propose a correction method to mitigate this problem and improve the estimation performance of the approximated model based methods. Simulation results show that the proposed technique can significantly improve the performance of the classical approximated model based near-field sources localisation methods.

Inspec keywords: approximation theory; estimation theory; source separation

Other keywords: approximated model based methods; correction method; estimation performance improvement; near-field source localisation techniques; performance improvement; estimation accuracy degradation; performance enhancement

Subjects: Other topics in statistics; Signal processing theory; Other topics in statistics; Interpolation and function approximation (numerical analysis); Signal processing and detection; Interpolation and function approximation (numerical analysis)

References

    1. 1)
      • 1. Grosicki, E., Abed-Meraim, K., Hua, Y.: ‘A weighted linear prediction method for near-field source localisation’, IEEE Trans. Signal Process., 2005, 53, (10), pp. 3651–3660.
    2. 2)
      • 2. Zhi, W., Chia, M.W.: ‘Near-field source localisation via symmetric subarrays’, IEEE Signal Process. Lett., 2007, 14, (6), pp. 409–412.
    3. 3)
      • 3. He, J., Swamy, M.N.S., Ahmad, M.O.: ‘Efficient application of MUSIC algorithm under the coexistence of far-field and near-field sources’, IEEE Trans. Signal Process., 2012, 60, (4), pp. 2066–2070.
    4. 4)
      • 4. Li, J., Wang, Y., Gang, W.: ‘Signal reconstruction for near-field source localisation’, IET Signal Process., 2015, 9, (3), pp. 201–205.
    5. 5)
      • 8. Singh, P.R., Wang, Y., Chargé, P.: ‘Bistatic MIMO radar for near field source localisation using PARAFAC’, Electron. Lett., 2016, 52, (12), pp. 1060–1061.
    6. 6)
      • 5. Swindlehurst, A.L., Kailath, T.: ‘Passive direction-of-arrival and range estimation for near-field sources’. Fourth Annual ASSP Workshop on Spectrum Estimation and Modeling, Minneapolis, Minnesota, August 1988, pp. 123–128.
    7. 7)
      • 7. Hsu, Y.S., Wong, K.T., Yeh, L.: ‘Mismatch of near-field bearing-range spatial geometry in source-localization by a uniform linear array’, IEEE Trans. Antennas Propag., 2011, 59, (10), pp. 3658–3667.
    8. 8)
      • 6. He, H., Wang, Y., Saillard, J.: ‘A high resolution method of source localisation in near-field by using focusing technique’. European Signal Processing Conf., Lausanne, Switzerland, August 2008, pp. 1–5.
    9. 9)
      • 9. Shepard, D.: ‘A two-dimensional interpolation function for irregularly-spaced data’. 23rd ACM National Conf., New York, USA, August 1968, pp. 517–524.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-spr.2017.0006
Loading

Related content

content/journals/10.1049/iet-spr.2017.0006
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading