EFFICIENT MATCHED-FIELD TRACKING ALGORITHMS

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Authors
  1. Musil, M.
  2. Ozard, J.M.
  3. Wilmut, M.J.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Abstract
Matched-Field Processing (MFP) has been used to process underwater acoustic data for many years and has recently been proposed for use in radar. In MFP the measured data are matched against predictions to produce an "ambiguity" surface which contains the matches for all possible source positions in a search region. Consequently the value of the ambiguity surface at any point reflects the likelihood that the source is at that position in the search region. This paper describes efficient algorithms for tracking an acoustic or electromagnetic source in scenarios in which the source position is ambiguous during any single look. Such a situatiion will arise at a low signal-to-noise ratio. The source is assumed to be moving at constant speed in a tow-or three-dimensional region along a track that is a concatenation of linear and circular subtracks. To find these, the algorithm searches for subtracks passing through the top peaks on two or more ambiguity surfaces. The application of the algorithm to simulated data is described.
Keywords
Efficient algorithms;Ambiguity surface;Likelihood;Circular tracks;Linear tracks
Report Number
DREA-TM-97-245 — Technical Memorandum
Date of publication
01 Jul 1997
Number of Pages
31
DSTKIM No
98-00623
CANDIS No
507464
Format(s):
Hardcopy;Document Image stored on Optical Disk

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