Warianty tytułu
Języki publikacji
Abstrakty
Due to the mobility of underwater equipment, high-precision underwater positioning technology will face two technical challenges: dealing with mixed-field signals composed of near-field signals and far-field signals; adapting to variable component of mixed-field signals considering the mobility of equipment. Under this condition, an effective method based on MUSIC is addressed in this paper. After distinguishing far-field signal subspace from mixed-field signal subspace, estimations of DOAs and powers of far-field sources are carried out. Then the corresponding far-field and noise signal components can be eliminated from the signal subspace. After that, based on path-following algorithm, modified 2D-MUSIC is performed for DOA and range estimations of near-field sources. The performance of the proposed method is verified and compared with the other methods through computer simulations. Reasonable classification of source types and accurate localization estimation can be achieved by using the proposed method
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Tom
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Opis fizyczny
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Bibliografia
- 1. H. Krim and M. Viberg, “Two decades of array signal processing research: The parametric approach,” IEEE Signal Process. Mag., vol. 13, no. 4, pp. 67–94, Jul. 1996.
- 2. R. O. Schmidt, “Multiple emitter location and signal parameter estimation,” IEEE Trans. Antennas Propag., vol. AP-34, pp. 276–280, Mar. 1986.
- 3. R. Roy and T. Kailath, “ESPRIT-estimation of signal parameters via rotational invariance techniques,” IEEE Trans. Acoust., Speech, Signal Process., vol. 37, pp. 984–995, Jul. 1989.
- 4. Y. D. Huang and M. Barkat, “Near-field multiple sources localization by passive sensor array,” IEEE Trans. Antennas Propag., vol. 39, pp. 968–975, Jul. 1991.
- 5. A. J. Weiss and B. Friedlander, “Range and bearing estimation using polynomial rooting,” IEEE J. Ocean. Eng., vol. 18, no. 2, pp. 130–137, Apr. 1993.
- 6. E. Grosicki, K. Abed-Meraim, and Y. Hua, “A weighted linear prediction method for near-field source localization,” IEEE Trans. Signal Process., vol. 53, no. 10, pp. 3651–3660, Oct. 2005.
- 7. W. Zhi and M. Y. W. Chia, “Near-field source localization via symmetric subarrays,” IEEE Signal Process. Lett., vol. 14, no. 6, pp. 409–412, Jun. 2007.
- 8. Y. Wu, H. C. So, and J. Li, “Passive localization of near-field sources with a polarization sensitive array,” IEEE Trans. Antenna Propag., vol. 55, no. 8, pp. 2402–2408, Aug. 2007.
- 9. J. Liang and D. Liu, “Passive localization of mixed near-field and far-field sources using two-stage music algorithm,” IEEE Trans. Signal Process., vol. 58, no. 1, pp. 108–120, Jan. 2010.
- 10. B. Wang, J. Liu, and X. Sun, “Mixed sources localization based on sparse signal reconstruction,” IEEE Signal Process. Lett., vol. 19, no. 8, pp. 487–490, Aug. 2012.
- 11. J. He, M. N. S. Swany, and M. O. Ahmad, “Efficient application of MUSIC algorithm under the coexistence of far-field and near-field sources,” IEEE Trans. Signal Process., vol. 60, no. 4, pp. 2066–2070, Apr. 2012.
- 12. G. Liu and X. Sun, “Two-Stage Matrix Differencing Algorithm for Mixed Far-Field and Near-Field Sources Classification and Localization,” IEEE Sensors J., vol. 14, no. 6, pp. 1957-1965, Jun. 2014.
- 13. D. Starer and A. Nehorai, “Passive Localization of Near-Field Sources by Path Following,” IEEE Trans. Signal Process., vol. 42, no. 3, Mar. 1994.
- 14 . J. H. Lee, C.-M. Lee, and K.-K. Lee, “A path-following algorithm using a known algebraic path,” IEEE Trans. Acoust., Speech Signal Process., vol. 47, no. 5, pp. 1487–1490, May 1999.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-e56de022-4189-44b5-8ec0-c94316f01883