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Harmonic Mean Density Fusion in Distributed Tracking: Performance and Comparison
In multi-sensor target-tracking literature, such systems are better known by the pseudonym - track fusion, since processed tracks are fused instead of raw measurements.
On Pooling-Based Track Fusion Strategies : Harmonic Mean Density
In a distributed sensor fusion architecture, using standard Kalman filter (naive fusion) can lead to degraded results as track correlations are ignored and conservative fusion strategies are employed as a sub-optimal alternative to the problem.
Trigonometric Moments of a Generalized von Mises Distribution in 2-D Range-Only Tracking
We prove that the trigonometric moments (circular moments) of the azimuth density conditioned on range can be computed as an infinite series, which can be sufficiently approximated by relatively few terms in summation.
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