Ultrasonic Phased Array Industrial Imaging with Sub-Nyquist Sampling Rate

Guang Zhi Dai; Guo Qiang Han; Xian Yue Ouyang

doi:10.4028/www.scientific.net/AMM.347-350.327

Paper Titles

A Novel Method for Perception and Map Construction of Environment Information Based on Laser Range Finder
p.307

Research on the Influence of the Process Parameters upon the Quality of Roller Hemming
p.312

Ultrasonic Phased Array Industrial Imaging Research with Compressed Sensing
p.317

Research and Design of DC Blushless Motor Speed Control System Based on Single Neuron PID Control
p.322

Ultrasonic Phased Array Industrial Imaging with Sub-Nyquist Sampling Rate
p.327

An Application of Minimum Statistical Noise Estimation in the High Rate of Fire Artillery Muzzle Velocity Measurement
p.332

Development of Test Bench of Electric Power Steering System for Electric Bus
p.337

The Application of PHM in Environment Safety
p.342

Design and Study on the Intelligent Fault Diagnosis System of Diesel Engine
p.347

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Ultrasonic Phased Array Industrial Imaging with...

Ultrasonic Phased Array Industrial Imaging with Sub-Nyquist Sampling Rate

Abstract:

this paper uses a new type of FRI (Finite Rate of Innovation) sampling pattern based Sub-Nyquist sampling model breaked through Shannon theorem that it can get accurate signal reconstruction based on signal information rate, which requires the sampling frequency lower than two times the max signal frequency. We apply the new model in the ultrasonic phased array industrial imaging. In the experiment, ultrasonic phased array realized dynamic focusing and the high speed scan by ultrasonic array transducer of various array time delays to get flexible controllable synthesis beam composed signals that received by 32 phased array elements . The results indicate that in the model it greatly reduces the signal sampling frequency and improves the signal-to-noise ratio, frequency resolution at the same of the beam focusing and steering flexible.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

327-331

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.327

Citation:

Cite this paper

Online since:

August 2013

Authors:

Guang Zhi Dai, Guo Qiang Han, Xian Yue Ouyang

Keywords:

Beam Control, Industrial Ultrasound Imaging, Ultrasonic Phased Array

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Li Wang; Xiaojuan Li, Application of phased array ultrasonic technology for nondestructive testing of railway wheels[j] , IEEE. Trans. Signal Process, 2011 , Page(s): 1193 - 1196.

DOI: 10.1109/emeit.2011.6023308

Google Scholar

[2] Peixin Ye, Error Analysis for Multi-Dimensional Shannon Sampling Expansion[J]. IEEE Trans. Compute Processing , 2011, Page(s): 1 - 4.

Google Scholar

[3] Blu T, Dragotti P L, Vetterli M, Marziliano P & Coulot L, Sparse sampling of signal innovations, IEEE Signal Process Mag, 25(2008) 31-40.

DOI: 10.1109/msp.2007.914998

Google Scholar

[4] P. L. Dragotti, M. Vetterli, and T. Blu, Sampling moments and reconstructing signals of ﬁnite rate of innovation: Shannonmeets strang-ﬁx, IEEE Trans. Signal Process., vol. 55, no. 5, p.1741–1757, May (2007).

DOI: 10.1109/tsp.2006.890907

Google Scholar

[5] Ronen Tur, Yonina C. Eldar, Senior Member, IEEE, and Zvi Friedman, Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging, IEEE IEEE Trans. Signal Process, vol. 59, no. 4, APRIL (2011).

DOI: 10.1109/tsp.2011.2105480

Google Scholar

[6] Noam Wagner, Eldar. Compressed Beamforming in Ultrasound Image[J]. IEEE Trans. Signal Process, (2012).

Google Scholar