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Data fusion can be used to increase the efficacy of both sonar signal processing and tracking of a target of interest. An example of data fusion is the use of information about the positions of interferers as reported by a source external to the sonar system, for instance by the Automatic Identification System. Through the use of such information, a joint likelihood function can be approximately marginalized...
One goal of active-passive data fusion is to combine the complementary information provided by active and passive sonar sensors to better perform signal processing. Here, investigation is restricted to passive direction of arrival tracking of a single target of interest in the presence of high SNR interferers. Prior information, available in a Bayesian framework, is used to increase track accuracy...
The multistatic tracking working group (MSTWG) was formed in 2005 by an international group of researchers interested in developing and improving tracking capabilities when applied to multistatic sonar and radar problems. The MSTWG developed several simulated multistatic sonar scenario data sets for use in tracker evaluation by the grouppsilas participants. A common set of performance metrics was...
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