Cramer-Rao bound for tracking in clutter and tracking multiple objects
Pattern Recognition Letters
Bearings-only tracking in the plane
SIAM Journal on Applied Mathematics
Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
Performance comparison of EKF and particle filtering methods for maneuvering targets
Digital Signal Processing
Bearings-only tracking of manoeuvring targets using particle filters
EURASIP Journal on Applied Signal Processing
Analysis and approximation of performance bound for two-observer bearings-only tracking
Information Sciences: an International Journal
A recursive algorithm for bearings-only tracking with signal time delay
Signal Processing
On the roles of smoothing in planning of informative paths
ACC'09 Proceedings of the 2009 conference on American Control Conference
Ant estimator with application to target tracking
Signal Processing
PDF target detection and tracking
Signal Processing
Continuous trajectory planning of mobile sensors for informative forecasting
Automatica (Journal of IFAC)
Object joint detection and tracking using adaptive multiple motion models
The Visual Computer: International Journal of Computer Graphics
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The paper investigates the problem of manoeuvring target tracking using angular measurements. The target dynamics is modelled by multiple switching models, while the measurements are collected asynchronously from possibly multiple moving platforms. The contribution of the paper is twofold. First a theoretical lower bound of the performance error is derived and analysed. Second, three tracking algorithms are proposed and compared to the theoretical bound. The proposed algorithms include: (i) the interactive multiple model (IMM) algorithm with extended Kalman filters, (ii) the IMM with unscented Kalman filters and (iii) the multi-mode particle filter.