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In this paper, we develop a tracking framework for multistatic sonar ping scheduling. This framework provides a unified approach to surveillance and tracking over a search area. The framework is used to dynamically schedule active sonar transmissions from a set of available sources and transmission parameters, including waveforms. This dynamic scheduling(More)
We describe a technique for detection and tracking of multiple targets using a multistatic sonobuoy array. The innovation in the proposed algorithm is the use of a clustering step, posed as Bayesian mixture estimation, to produce Cartesian position measurements. These are passed to a sequential Monte Carlo approximation of the multiple hypothesis tracker.(More)
Assumed here is a multi-static sonar system consisting of a distributed field of emitter and receiver sonobuoys within a defined search area. The field is deployed to search for and estimate the location, heading, and speed of underwater targets within the search area. We describe a method for optimizing, over a long time horizon, choice of transmission(More)
The paper presents the latest stage in the development of a robust multitarget tracker to be deployed in a large multistatic sonobuoy system. The major technical challenges are: the association of multiple measurements from different receivers for every ping; target detection dependence on the source-target-receiver geometry, ping properties, target(More)
The Threat Probability Density Map displays the outcomes of the search effort prior to detection and is a digital representation of the probability density function of location of the existing undetected threat. The Threat Map readily provides such diagnostics as the probabilities of the threat being present in different areas of interest and this(More)
Sonobuoy fields, consisting of many distributed emitter and receiver sonar sensors on buoys, are used to seek and track underwater targets in a defined search area. A sensor scheduling algorithm is required in order to optimise tracking performance by selecting which emitter sonobuoy should transmit in each time interval, and which waveform it should use.(More)
Numerical methods based on geometrical multiscale models of blood flows solve for averaged flow statistics on a network of vessels while providing more detailed information about fluid dynamics in a specific region of interest. In such an approach, a 3D model based on the Navier-Stokes equations posed in a domain with rigid walls is often used to describe(More)
Optimal beamforming on synthetic noise and interference is a flexible and intuitive technique for shaping beam patterns. In this method, suppression of arrivals from undesirable directions is achieved through introduction of synthetic interferences and optimal beamforming using the resulting noise-interference covariance matrix. We apply this approach to a(More)