Paper Info
Title
Synthetic phased array image formation and restoration
Abstract
A coherent array imaging method is described that uses small groups of adjacent array elements called subarrays. For each firing event, only one subarray is used for transmit and receive, and all elements of the subarray transmit and receive in parallel. Phased array processing is used to focus and steer the subarray beam in transmit and receive. A sufficient number of beams are acquired such that the Nyquist sampling criteria is met for the subarray. The beams acquired from each subarray are upsampled, filtered, and combined with beams from all the other subarrays to form the final high-resolution image. A subarray-dependent reconstruction and restoration filter is applied to the subarray beams. The method significantly reduces the front-end hardware complexity compared to full phased array imaging. Experimental results demonstrate the performance of the proposed method.
Year
DOI
Venue
2002
10.1109/ICASSP.2002.5745251
ICASSP
Keywords
Field
DocType
image restoration,image resolution,front end,imaging,phased array,image formation
Telecommunications,Pattern recognition,Hardware complexity,Computer science,Phased-array optics,Phased array,Image formation,Artificial intelligence,Image restoration,Nyquist–Shannon sampling theorem,Computer hardware,Image resolution
Conference
Volume
ISSN
ISBN
3
1520-6149
0-7803-7402-9
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Jeremy Johnson1615.58
Mustafa Karaman2447.54
Pierre Khuri-Yakub300.68