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Gerald Benitz Phones & Addresses

  • 314 Stow Rd, Harvard, MA 01451 (978) 456-9836
  • Lynn, MA
  • North Chelmsford, MA
  • Billerica, MA
  • Brookfield, WI
  • Waltham, MA
  • Madison, WI
  • 314 Stow Rd, Harvard, MA 01451

Publications

Us Patents

High Definition Imaging Apparatus And Method

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US Patent:
6628844, Sep 30, 2003
Filed:
Feb 19, 1998
Appl. No.:
09/025994
Inventors:
Gerald R. Benitz - Harvard MA
Assignee:
Massachusetts Institute of Technology - Cambridge MA
International Classification:
G06K 936
US Classification:
382276, 382277, 382280, 382281
Abstract:
A high definition radar imaging system receives SAR image data and adaptively processes the image the data to provide a high resolution SAR image. The imaging technique employs an adaptive filter whose tap weights are computed based upon a constrained Maximum Likelihood Method (MLM). The MLM technique chooses the filter tap weights (i. e. , a weighting vector ) to satisfy several criteria including: 1) they preserve unity gain for a point scatter at the desired location, and 2) they minimize the perceived energy in the output image. The weights are constrained in norm , to reduce the loss of sensitivity to bright scatters. Significantly, the present invention applies an additional constraint on the iterative selection of the weighting vector , such that the weighting vector shall confined to a particular subspace in order to preserve background information in the image. This constraint is accomplished by confining the selection of the weighting vector to the subspace defined by the linear space of the columns of a covariance matrix generated from the data.

High-Definition Imaging Apparatus And Method

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US Patent:
20030071750, Apr 17, 2003
Filed:
Feb 28, 2002
Appl. No.:
10/086202
Inventors:
Gerald Benitz - Harvard MA, US
International Classification:
G01S013/90
US Classification:
342/025000, 342/191000, 342/194000, 342/195000
Abstract:
A high-definition radar imaging system and method receives image data and adaptively processes the image the data to provide a high resolution image. The imaging technique employs adaptive processing using a constrained minimum variance method to iteratively compute the high-definition image. The high-definition image I is expressed in range and cross-range as I(r,c)=minR, where is a weighting vector and R is a covariance matrix of the image data. A solution for I(r,c) is approximated by i) forming Y=[x. . . x]/{square root}{square root over (K)} where x. . . xare beamspace looks formed from image domain looks and with y, y, and ydenoting the K×1 columns of Y; ii) computing r=yyand r=yy, and b=ry+ry; computing as and iii) computing I(r,c) as I(r,c)= y-b .
Gerald R Benitz from Harvard, MA, age ~67 Get Report