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Proceedings Paper

A method to design an optimum pair of transmit and receive periodic sparse arrays
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Paper Abstract

In such applications as fast 3D imaging with 2D arrays and point-of-care imaging with an ultra portable devices, periodic sparse arrays(PSA) can be efficiently used to increase the effective aperture size with less number of active elements than the conventional method. Generally, PSA can be represented as sub-arrays distributed uniformly in P -element intervals, each with L consecutive elements, where L < P. Since the continuous wave beam pattern in the far-field is given by Fourier transform of aperture function, the beam pattern of PSA is a multiplication of beam patterns of the upsampled dense array by the ratio of P and L -elements sub-array. A recent method to design a PSA pair provides analytically the values of P and L for transmit and receive arrays to eliminate the dominant grating lobes, which occur at the same position on both transmit and receive. In this work, we present a method to design a PSA pair with improved performance by further suppressing the residual grating lobes of PSA. It can be accomplished by properly shading amplitude of the transmit and receive sparse arrays. This shading window function is also obtained by signal analysis of aperture functions. The beam patterns of various PSA pairs based on the proposed design method are evaluated through computer simulations. The simulation results show that the residual grating lobes are reduced by about 10dB more in all cases. Consequently, our method can be used to improve the performance of beam pattern or enhance the periodicity of sparse array.

Paper Details

Date Published: 13 March 2008
PDF: 8 pages
Proc. SPIE 6920, Medical Imaging 2008: Ultrasonic Imaging and Signal Processing, 692011 (13 March 2008); doi: 10.1117/12.770595
Show Author Affiliations
Gi-Duck Kim, Sogang Univ. (South Korea)
Tai-Kyong Song, Sogang Univ. (South Korea)

Published in SPIE Proceedings Vol. 6920:
Medical Imaging 2008: Ultrasonic Imaging and Signal Processing
Stephen A. McAleavey; Jan D'hooge, Editor(s)

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