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Showing 1 to 4 of 4 for “"sequential bayesian estimation"”.
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Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks
<p>Sequential Bayesian estimation is the process of recursively estimating the state of a dynamical system observed in the presence of noise. Posterior Cramer-Rao lower bound (PCRLB) sets a performance limit onany Bayesian estimator for the given dynamical system. The PCRLBdoes not fully utilize …
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Modern Bayesian Object Tracking: Challenges and Solutions
… of efficient tracking systems with the help of Bayesian computational methods. The target tracking problem is typically divided into two sub-tasks: data association and state estimation. Data association involves identifying which measurements correspond to which object, while state estimation …
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Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks
… in sensor networks, emphasizing parameter estimation and target tracking with resource-constrainted networks.</p> <p>To reduce the transmissions between sensors and the fusion center thereby saving bandwidth and energy consumption in sensor networks, a novel methodology, where each local …
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Multiple-Target Tracking in Complex Scenarios
… We treat the data association</p><p>and state estimation as separate subproblems. We develop a game-theoretic</p><p>framework to solve the data association, in which we model each tracker as</p><p>a player and the set of measurements as strategies. We develop utility functions</p><p>for each …