COMPARISON OF CONVENTIONAL AND SPREAD SPECTRUM SIGNALS TIME OF FLIGHT ERROR CAUSED BY NEIGHBORING REFLECTIONS
DOI:
https://doi.org/10.47839/ijc.12.3.605Keywords:
time of flight, time delay estimation, ultrasonic measurements, multiple reflections.Abstract
Performance comparison of conventional and spread spectrum signals in Time of Flight estimation is given. Ultrasonic measurement under multiple reflections condition is analyzed. It was indicated that if two reflections are in close proximity the neighboring signal induces energy leak into its opponent signal. Due to such situation ToF estimate is obtained with bias error. Narrow signals like single rectangular pulse, should suffer less from the aforementioned phenomena. But use of spread spectrum signals is preferred thanks to their compressibility. It was hypothesized that such long signals will have worse bias error due to neighbor reflection. Goal of the investigation was to compare the performance in multiple reflections environment in Time of Flight estimation for classical signals and spread spectrum signals. Investigation revealed that spread spectrum signals have better performance in a sense of bias error caused by neighboring reflection.References
M. C. Amann, T. Bosch, M. Lescure, et al., Laser ranging: a critical review of usual techniques for distance measurement, Opt. Eng., (40) (2001), pp. 10-19.
R. Kazys, L. Svilainis, L. Mazeika, Application of orthogonal ultrasonic signals and binaural processing for imaging of the environment, Ultrasonics, (38) (2000), pp 171-175.
P. Pallav, D. A. Hutchins, T. H. Gan, Air-coupled ultrasonic evaluation of food materials, Ultrasonics, (49) (2009), pp. 244-253.
N. B. Luciano, S. C. J. Alberto, et al., Development of an ultrasonic thickness measurement equipment prototype, 2010 Conference on Electronics, Communications and Computer, Cholula Puebla, Mexico (February 22-24, 2010), pp. 124-129.
V. Magori, Ultrasonic measuring arrangement for differential flow measurement, particularly for measurement of fuel consumptions in motor vehicles with a fuel return line, US patent No. 4,409,847, 1983.
R. Kazys, R. Raisutis, E. Zukauskas, et al., Air-coupled ultrasonic testing of CFRP rods by means of guided waves, 2010 International Congress on Ultrasonics, Physics Procedia, (3), 2010, pp. 185-192.
W. Y. Tsai, et al., New implementation of high-precision and instant-response air thermometer by ultrasonic sensors, Sensors and Actuators, (117) (2005), pp. 88-94.
P. G. M. Jong, T. Arts, A. P. G. Hoeks et al., Experimental evaluation of the correlation interpolation technique to measure regional tissue velocity, Ultrasonic Imaging, (13) (1991), pp. 145-161.
S. Chaki, G. Corneloup, I. Lillamand, et al., Combination of longitudinal and transverse ultrasonic waves for in situ control of the tightening of bolts, Journal of Pressure Vessel Technology, (129) (2007), pp. 383-390.
G. Athanasopoulos, C. Stephen, J. Hatfield, A high voltage pulser ASIC for driving high frequency ultrasonic arrays, 2004 IEEE Ultrasonics Symposium, Montreal, Canada (August 23-27, 2004), pp. 1398-1400.
F. Honarvar, H. Sheikhzadeh, M. Moles, A. N. Sinclair, Improving the time-resolution and signal-to-noise ratio of ultrasonic NDE signals, Ultrasonics, (41) (2004), pp. 755-763.
M. Pollakowski, H. Ermert, Chirp signal matching and signal power optimization in pulse-echo mode ultrasonic nondestructive testing, IEEE Transactions on Ultrason., Ferroelectr., Freq. Control, (41) (1994), pp. 655-659.
M. M. Saad, C. J. Bleakley, T. Ballal, S. Dobson, High-accuracy reference-free ultrasonic location estimation, IEEE Transactions on Instrum. Meas., (61) (2012), pp. 1561-1570.
Q. Licun, R. L. Wang, Performance improvement of ultrasonic Doppler flowmeter using spread spectrum technique, 2006 IEEE International Conference on Information Acquisition, (1) (2), Shandong, China (August 20-23, 2006), pp. 122-126.
L. Svilainis, K. Lukoseviciute, V. Dumbrava, et al., Application of arbitrary position and width pulse trains signals in ultrasonic imaging: correlation performance study, Electronics and Electrical Engineering, (19) (2013), pp. 57-60.
L. Draudviliene, L. Mazeika, Analysis of the zero-crossing technique in relation to measurements of phase velocities of the S0 mode of the Lamb waves, Ultragarsas, (65) (2010), pp. 11-14.
V. G. Ivchenko, A. N. Kalashnikov, et al., High-speed digitizing of repetitive waveforms using accurate interleaved sampling, IEEE Transactions on Instrum. Meas., (4) (2007), pp. 1322-1328.
G. Jacovitti, G. Scarano, Discrete time techniques for time delay estimation, IEEE Transactions on Signal Processing, (41) (1993), pp. 525-533.
H. Cramer, Mathematical Methods of Statistics, Princeton University Press, Princeton, 1946.
C. Rao, Information and the accuracy attainable in the estimation of statistical parameters, Bulletin of Calcutta Mathematics Society, (37) (1945), pp. 81-89.
L. Svilainis, V. Dumbrava, S. Kitov, A. Chaziachmetovas, The influence of digital domain on time of flight estimation performance, 2012 International Congress on Ultrasonics, Gdansk, Poland (September 5-8, 2011), pp. 479-482.
X. Lai and H. Torp, Interpolation Methods for time-delay estimation using cross-correlation method for blood velocity measurement, IEEE Transactions on Ultrason., Ferroelectr., Freq. Control, (46) (1999), pp. 277-290.
R. Kazys, Delay time estimation using the Hilbert transform, Matavimai,(3) (1996), pp. 42-46.
L. Svilainis, A. Aleksandrovas, Application of arbitrary pulse width and position trains for the correlation sidelobes reduction for narrowband transducers, Ultrasonics, (53) (2013), pp. 1344-1348.
R. Kazys, L. Svilainis, Ultrasonic detection and characterization of delaminations in thin composite plates using signal processing techniques, Ultrasonics, (35) (1997), pp. 367-383.
L. Svilainis, A. Aleksandrovas, K. Lukoseviciute, V. Eidukynas, Investigation of the time of flight estimation errors induced by neighboring signals, Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Berlin, Germany, 12-14 September 2013, pp. 413-418.
L. Svilainis, Review of high resolution time of flight estimation techniques for ultrasonic signals, 2013 International Conference NDT, Telford, UK, (Sep. 8-12, 2013), pp.1-12.
L. Svilainis, K. Lukoseviciute, V. Dumbrava, A. Chaziachmetovas, Subsample interpolation bias error in time of flight estimation by direct correlation in digital domain, Measurement, (46) 10 (2013), pp. 3950–3958.
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