John G. Baylog

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We consider the problem of determining the correct mance that connect the design parameters of sensor numbers, set of sensors to employ in the design of large area undersea sensor detection threshold, and fusion strategy to the design surveillance sensor networks. As sensor technologies evolve, such objectives of maximal detection performance, minimal false(More)
The planning of search paths of multiple unmanned undersea vehicles is complicated by taking into consideration the effects that potential cross-vehicle collaboration may have on their performance. Such collaboration is expected to have the effects of increasing the quality and accuracy of search over that which is obtainable from independent search paths.(More)
We develop a mathematical modeling approach to evaluate the effectiveness of a Bayesian search for objects in cases where the target exhibits ancillary dependencies. These dependencies occur in situations where there are multiple search passes of the same region, and they represent a change in search probability from that predicted using an assumption of(More)
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