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Estimation of the Azimuth Angle of the Arrival Direction for an Ultrasonic Signal by Using Indirect Determination of the Phase Shift

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Języki publikacji
EN
Abstrakty
EN
The paper presents and discusses a method of azimuth determination of ultrasonic echo arrival in air. The basis of the presented approach is the assumption that the received signal is a narrowband one. In this way, the direction of the signal arrival can be determined based on its phase shift using two receivers. When the distance between the receivers exceeds half of the wavelength of the received signal, a problem of ambiguity in determining the angle of arrival arises. To solve this, a method using multiple pairs of receivers was used. Its robustness and temperature dependence is analysed. The most import ant advantages of the presented approach are simplified computations and low hardware requirements. Experimental data made it possible to show that for strong echoes, the accuracy is higher than 0.5°. In the case of weak echos, it is reduced to about 2°. Because the method is based on phase shift measurement, the ultrasonic sonar that uses this method can be compact in size. Moreover, owing to the theoretical analysis, certain properties of the mutual location of the receivers were found and formally proved. They are crucial for determining proper receivers’ inter-distances.
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Strony
585--601
Opis fizyczny
Bibliogr. 21 poz., fot., rys., wykr.
Twórcy
  • Department of Cybernetics and Robotics, Faculty of Electronics, Wrocław University of Science and Technology, Janiszewskiego 11/17, 50-372 Wrocław, Poland
Bibliografia
  • 1. Choi K. H., Ra W., Park S., Park J. B. (2014), Robust least squares approach to passive target localization using ultrasonic receiver array, IEEE Transactions on Industrial Electronics, 61, 4, 1993-2002, doi: 10.1109/TIE.2013.2266076.
  • 2. Clapp M. A., Etienne-Cummings R. (2006), Single Ping-multiple measurements: sonar bearing angle estimation using spatiotemporal frequency filters, Circuits and Systems I: Regular Papers, IEEE Transactions on, 53, 4, 769-783, doi: 10.1109/TCSI.2005.859613.
  • 3. Haardt M., Nossek J. A. (1995), Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden, IEEE Transactions on Signal Processing, 43, 5, 1232-1242, doi: 10.1109/78.382406.
  • 4. Herman K., Gudra T., Furmankiewicz J. (2014), Digital signal processing approach in air coupled ultrasound time domain beamforming, Archives of Acoustics, 39, 1, 27-50, doi: 10.2478/aoa-2014-0005, url: http://acoustics.ippt.gov.pl/index.php/aa/article/view/1480.
  • 5. Im A. et al. (2013), DOA Estimation via Phase Measurement, [in:] Progress in Electromagnetics Research Symposium, Taipei, Taiwan.
  • 6. Kabała M., Wnuk M. (2005), Module with microcontroller MC9S12A64 [in Polish: Moduł z mikrokontrolerem MC9S12A64], Tech. rep. SPR nr 11/2005, Institute of Computer Science, Automatics and Robotics of the Wrocław University of Technology.
  • 7. Kleeman L., Kuc R. (1995), Mobile robot sonar for target localization and classification, International Journal of Robotics Research, 14, 4, 295-318.
  • 8. Kreczmer B. (2017), Azimuth angle determination for the arrival direction for an ultrasonic echo signal, Journal of Automation, Mobile Robotics and Intelligent Systems, 11, 02, 31-41. doi: 10.14313/JAMRIS_2-2017/14.
  • 9. Kreczmer B. (2018), Azimuth angle estimation of ultrasonic signal arrival by using multi-pair receiver system, [in:]“Automation 2018”, Advances in Intelligent Systems and Computing, Springer International Publishing, pp. 672-681.
  • 10. Roy R., Kailath T. (1989), ESPRIT – estimation of signal parameters via rotational invariance techniques, IEEE Transactions on Acoustics, Speech, and Signal Processing, 37, 7, 984-995, doi: 10.1109/29.32276.
  • 11. Roy R., Paulraj A., Kailath T. (1986), Direction-of-arrival estimation by subspace rotation methods – ESPRIT’, [in:] ICASSP ’86. IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 11, pp. 2495-2498, doi: 10.1109/ICASSP.1986.1168673.
  • 12. Schmidt R. (1986), Multiple emitter location and signal parameter estimation, IEEE Transactions on Antennas and Propagation, 34, 3, 276-280, doi: 10.1109/TAP.1986.1143830.
  • 13. Steckel J., Boen A., Peremans H. (2013), Broad-band 3-D Sonar system using a sparse array for indoor navigation, IEEE Transactions on Robotics, 29, 1, 161-171, doi: 10.1109/TRO.2012.2221313.
  • 14. Steckel J., Peremans H. (2013), BatSLAM: Simultaneous localization and mapping using biomimetic sonar, PLOS ONE, 8, 1, 1-11, doi: 10.1371/journal.pone.0054076, url: https://doi.org/10.1371/journal.pone.0054076.
  • 15. Steckel, J., Peremans H. (2015), Spatial sampling strategy for a 3D sonar sensor supporting BatSLAM, [in:] 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 723-728, doi: 10.1109/IROS.2015.7353452.
  • 16. Sun F., Lan P., Gao B. (2015), Partial spectral search-based DOA estimation method for co-prime linear arrays, Electronics Letters, 51, 24, 2053-2055, doi: 10.1049/el.2015.2261.
  • 17. Tayem N., Kwon H. M. (2003), Conjugate ESPRIT (C-SPRIT), [in:] IEEE Military Communications Conference, MILCOM 2003, Vol. 2, pp. 1155-1160, doi: 10.1109/MILCOM.2003.1290358.
  • 18. Walter C., Schweinzer H. (2014), Locating of objects with discontinuities, boundaries and intersections using a compact ultrasonic 3D sensor, [in:] 2014 International Conference on Indoor Positioning and Indoor Navigation, pp. 99-102.
  • 19. Yang X. et al. (2018), A fast and robust DOA estimation method based on JSVD for co-prime array, IEEE Access, 6, 41697-41705, doi: 10.1109/ACCESS.2018.2860680.
  • 20. Zhang D., Zhang Y., Zheng G., Feng C., Tang J. (2017), Improved DOA estimation algorithm for co-prime linear arrays using root-MUSIC algorithm, Electronics Letters, 53, 18, 1277-1279, doi: 10.1049/el.2017.2292.
  • 21. Zhou C., Shi Z., Gu Y., Shen X. (2013), DECOM: DOA estimation with combined MUSIC for coprime array, [in:] 2013 International Conference on Wireless Communications and Signal Processing, pp. 1-5, doi: 10.1109/WCSP.2013.6677080.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4f96ed39-015a-4f15-9ed8-8855ec628446
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