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Found 9 papers, 0 papers with code
Gaussian Integral based Bayesian Smoother
This work introduces the Gaussian integration to address a smoothing problem of a nonlinear stochastic state space model.
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.
Dynamics of a Towed Cable with Sensor-Array for Underwater Target Motion Analysis
This paper develops a dynamic model of a cable-sensor array system to localise the sensor array, which is towed behind a sea-surface vessel.
Maximum Correntropy Polynomial Chaos Kalman Filter for Underwater Navigation
The proposed method is compared with the existing maximum correntropy sigma point filters in terms of estimation accuracy and computational complexity.
Tracking an Underwater Target with Unknown Measurement Noise Statistics Using Variational Bayesian Filters
Both adaptive filtering techniques are implemented using the traditional Gaussian approximate filters and are applied to a bearings-only tracking problem illustrated with moderately nonlinear and highly nonlinear scenarios to track a target following a nearly straight line path.
Risk Sensitive Filtering with Randomly Delayed Measurements
For such a system, we consider a scenario where the measurements are transmitted to a remote location using a common communication network and due to which, a delay is introduced while receiving the measurements.
Modeling and Estimation for Systems with Randomly Delayed Measurements and Packet Dropouts
Based on the proposed model, we solve the problem by assuming that the prior and posterior densities of states are Gaussian and derive the expression of the estimated state and the error covariance.
Resolving Left-Right Ambiguity During Bearing Only Tracking of an Underwater Target Using Towed Array
In bearing only tracking using a towed array, the array can sense the bearing angle of the target but is unable to differentiate whether the target is on the left or the right side of the array.
