Phased subarray processing for underwater 3D acoustic imaging

3D sonar imaging using a fully-populated rectangular 2D array has many promising applications for underwater imaging. A primary limitation of such systems is the large number of parallel front-end hardware channels needed to process the signals in transmit and receive when using conventional full phased array imaging. A subaperture beam acquisition and image formation process is presented that significantly reduces the number of front-end hardware channels while achieving image quality approaching that of full phased array imaging. Rather than transmitting and receiving on all N/spl times/N transducer elements to form each beam, an M/spl times/M subset of elements - called a subarray - is used for each firing. The limited number of front-end processing channels are used to acquire data from each subarray. Switching hardware allows the subarray to be multiplexed across the full array. Due to the Nyquist sampling criteria in beamspace, the number of beams acquired by each subarray can be significantly reduced compared to the number required for the full array. The phased subarray processing includes beam upsampling, lateral interpolation with a subarray-dependent filter, and coherent weighting and summation of all subarray images to form a high resolution image. The phased array method achieves an image quality nearing that of full phased array imaging with significantly fewer processing channels, slightly reduced SNR, and roughly three times the number of firings for reasonable configurations.

[1]  T. A. Shoup,et al.  Ultrasonic imaging systems , 1988, IEEE 1988 Ultrasonics Symposium Proceedings..

[2]  Butrus T. Khuri-Yakub,et al.  Image formation and restoration using multi-element synthetic array processing , 2002, SPIE Medical Imaging.

[3]  G. Cincotti,et al.  Dense and sparse 2-D array radiation patterns in lossy media , 2000, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[4]  G.R. Lockwood,et al.  Real-time 3-D ultrasound imaging using sparse synthetic aperture beamforming , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  P.A. Lewin,et al.  The Influence of Front-End Hardware on Digital Ultrasonic Imaging , 1984, IEEE Transactions on Sonics and Ultrasonics.

[6]  Mustafa Karaman Ultrasonic array imaging based on spatial interpolation , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[7]  Richard J. Kozick,et al.  Synthetic aperture pulse-echo imaging with rectangular boundary arrays [acoustic imaging] , 1993, IEEE Trans. Image Process..

[8]  M. O'Donnell,et al.  Subaperture processing for ultrasonic imaging , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[9]  Xuecheng Jin,et al.  An efficient electrical addressing method using through-wafer vias for two-dimensional ultrasonic arrays , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

[10]  R. T. Hoctor,et al.  The unifying role of the coarray in aperture synthesis for coherent and incoherent imaging , 1990, Proc. IEEE.

[11]  Sverre Holm,et al.  Sparse arrays for real-time 3D imaging, simulated and experimental results , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).