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Passive localization using propagation models

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Abstract
Passive ranging using propagation models can be effected in two different ways: forward modeling
 
and direct inversion. The forward-modeling method performs an exhaustive recomputation of the field
 
over a set of assumed source locations and seeks the best match to the measured data. The direct
 
inversion method inverts a set of linear equations constituted by the normal mode model. An overview
 
of these two approaches is given along with a summary of studies performed to date. This is followed
 
by the presentation of a maximum-likelihood algorithm for the direct inversion method. A discussion of
 
the merits and weaknesses of each method is given. Also, an appendix which discusses some general aspects of the inverse problem is included.
 

URI
http://hdl.handle.net/20.500.12489/285

Report Number
SR-117

Collections
  • Technical Reports

Date
1987/06

Author(s)
Sullivan, Edward J.

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SR-117-UU.pdf (2.911Mb)

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