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Exponential Mixture Densities (EMDs) is increasingly popular as a suboptimal distributed fusion technique that avoids calculating the common information between different nodes. However, there exists some concerns about the EMDs because it fuses the cluttered posterior density as a whole, which contains plenty of components of little physical significance. Thus, it becomes intractable and computation...
Target tracking is a hot topic for unmanned aerial vehicle surveillance. Recently, the novel random sample consensus (RANSAC) algorithm shows a good tracking performance in dense clutter environment. However, the heavy computational burden limits the usage for unmanned aerial vehicle (UAV). In this paper, a density-based recursive random sample consensus (DBR-RANSAC) algorithm is proposed, which utilizes...
Probability Hypothesis Density (PHD) filter has proven to be a valid algorithm for jointly estimating the time-varying number of targets and their states. However, the filter can only provide the estimates of the set of targets states but not the complete tracks of individual targets. To solve this problem, we present a track extraction method based on the targets' topology information. Simulation...
The geographic information (air route, sea route, air corridor, prohibited area, airport and etc.) and the spatial relative relation of the aircraft formation represent the equality and inequality constraints of the targets. The establishment of association and fusion between constraint information and passive multi-sensor is an important approach to improve the performance of target detection and...
The OTHR (over-the-horizon radar) based tracking methods have a common prerequisite that the virtual ionospheric height, as the key ionosphere state, should be obtained either by ionosondes or external sources. However, ionosondes can not be deployed arbitrarily and external sources may not be always available, which results in the situation that the ionosphere state is unknown. This motivates us...
Different from the traditional single detection systems (SDS) assuming that one target generates at most one detection per scan, there exists a class of multiple detection systems (MDS) where each detection may originate from the interested target via one of multiple propagation modes or from the clutter, while the correspondence among targets, measurements, and propagation modes is unknown. The performance...
In over-the-horizon radars (OTHRs), the target state updates at a fast rate while the ionosphere state (e.g. the ionospheric height) evolves intermittently and all OTHR based tracking methods have the same prerequisite that the virtual ionospheric height, as the key model parameter in estimating the target state, should be obtained either by ionosondes or external sources. However, ionosondes can...
Multi-path tracks of a single target exist in skywave over-the-horizon radar (OTHR) surveillance, due to the availability of multiple signal propagation paths through the ionosphere. Different from the traditional multipath data association and estimation methods for OTHR target tracking, a novel scheme for joint multipath data association and state estimation (JMAE) is developed based on the expectation-maximization...
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