Unified field of detection probabilities for heterogeneous means of observations
The problem of calculating a single detection probability field for stationary and moving observers controlling a given region and working in a passive mode in different frequency ranges is considered. Currently, the implementation of the ideas of "network-centrism" in relation to solving the problems of searching for a marine underwater object leads to the integration of underwater surveillance systems and to the integration of all available positional and maneuvering sonar systems into a single complex of underwater observation, in which the results of the work of heterogeneous means of observations could be combined. In this work we consider stationary sonar station located on a plane equipped with the Cartesian coordinate system XOY, whose coordinates are known, and calculate a single object detection probability field for all stationary sonar station throughout the region Р det(x, y). This field is used as the basis for the integration of underwater observation systems and for combining all available positional and maneuvering sonar systems into a single underwater observation complex, including when operating in an anisotropic environment. All the examples cited were calculated using the MATLAB computing environment. The presence of a single field of probability of detection for a given area: - firstly, it greatly facilitates the work of the operator; - secondly, it allows you to quickly make adjustments to the work of maneuvering means; - thirdly, take into account data from non-acoustic physical fields in this single field of probability.
Keywords
the trajectory of the object, the integration of underwater surveillance systems, the probability of detecting an object, the probability field of detecting an objectAuthors
| Name | Organization | |
| Rudko Igor M. | V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences | igor-rudko@mail.ru |
References
Unified field of detection probabilities for heterogeneous means of observations | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2020. № 53. DOI: 10.17223/19988605/53/9