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Classification of pulse repetition interval (PRI) modulation type is an important task of electronic warfare systems. Correct classification of the PRI modulation of an emitter can lead to significant knowledge about the observed emitter and can facilitate an electronic warfare system with applying its functions. Several methods have been proposed in the literature for identifying standard PRI modulation...
The cardinality balanced multi-target multi- Bernoulli (CB-MeMBer) filter has received a lot of attention as a good approximation to the ideal multi-target filter. Consequently, several schemes have been proposed in order to perform sensor management when a CB-MeMBer filter is used. Most of these criteria are computationally very expensive due to the nature of the CB-MeMBer filter and the integration...
A sensor management scheme that focuses on managing the uncertainty in the threat level of targets is proposed. The scheme selects the best sensing mode such that the uncertainty in the threat level of targets is minimized. The main advantage of the proposed scheme is that it opens the possibility for incorporation of the operational context when performing Bayes-optimal sensor management. Different...
Joint target tracking and classification is a challenging problem where the class of a target must be estimated in addition to its kinematic states, such as position and velocity. This problem is of special importance both in civilian and in military domain, where target classification plays an important role in the decisions that an operator makes. Moreover, when several sensing options are available...
Radar resource management is often performed based on heuristics, according to the target threat level or on managing the uncertainty in some low-level quantities such as the target position and velocity. These approaches do not address explicitly the requirement for optimal situational awareness. For this reason, we propose performing radar resource management such that the uncertainty in higher...
The Automatic Identification System (AIS) is an automatic tracking system based on reports provided by the vessels carrying an AIS transponder. The reports contain information on the vessel position, velocity etc. and typically have high accuracy. Given that the AIS is a self-reporting system, the trustworthiness of positional information depends on data being reported by the vessel, rather than measured...
Multifunction radars are highly configurable and possess some form of beam agility, allowing maintenance of a large number of tasks supporting varied functions. However, the surveillance function is commonly executed using a fixed periodic pattern, not utilising the full hardware potential. In this paper, a new method of surveillance control is proposed which utilises a particle filter to estimate...
We consider the pulse repetition frequency (PRF) selection problem for target tracking in the context of track-before-detect. Two sensor management criteria are proposed for solving the PRF selection problem. From the information theoretic class, a Kullback-Leibler divergence based criterion is employed and from the task based class, a criterion that is based on the covariance matrix of the posterior...
We consider the problem of scheduling an agile sensor for performing optimal search for a target. A probability density function is created for representing our knowledge about where the target might be and it is utilized by the proposed sensor management criteria for finding optimal search strategies. The proposed criteria are: an information-driven criterion based on the Kullback-Leibler divergence...
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