SIGNAL FOLLOWING TECHNIQUES IN A CLUTTERED UNDERWATER ENVIRONMENT

Authors
  1. Quach, T.
  2. Farooq, M.
Corporate Authors
Defence Research Establishment Atlantic, Dartmouth NS (CAN);Royal Military Coll of Canada, Kingston ONT (CAN) Dept of Electrical and Computer Engineering
Abstract
In this report we survey a number of techniques for signal following in a cluttered environment with the aim to apply these techniques to underwater signal processing applications. Particular attention is given to the development of different versions of Kalman filtering algorithm incorporated with an all-neighbor data association (ANA) scheme. These filters are the probabilistic data association type filters in the literature. A batch processing technique based on the maximum likelihood estimation theory is included here for comparison purposes with the recursive methods. The probabilistic data association filters (PDAFs) have been used extensively for the tracking of a constant velocity as well as a single maneuvering target in radar applications.
Report Number
DREA-CR-92-444 — Contractor Report (Interim)
Date of publication
01 May 1992
Number of Pages
76
DSTKIM No
93-02694
CANDIS No
128435
Format(s):
Hardcopy;Originator's fiche received by DSIS

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