Tracking and data association
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Sequential Monte Carlo methods for multiple target tracking anddata fusion
IEEE Transactions on Signal Processing
Particle filters for positioning, navigation, and tracking
IEEE Transactions on Signal Processing
Particle filters for state estimation of jump Markov linear systems
IEEE Transactions on Signal Processing
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering
IEEE Transactions on Information Theory
Mobility modeling, location tracking, and trajectory prediction in wireless ATM networks
IEEE Journal on Selected Areas in Communications
Equitable distribution energy consumption of wsns
Proceedings of the 1st ACM international workshop on Foundations of wireless ad hoc and sensor networking and computing
Ant estimator with application to target tracking
Signal Processing
Dynamic energy management with improved particle filter prediction in wireless sensor networks
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
A real-time moving ant estimator for bearings-only tracking
ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I
Cell automatic tracking technique with particle filter
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Particle filter with multimode sampling strategy
Signal Processing
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In this paper, we address the target tracking problem for the case of maneuvering target, including single target and multiple target tracking. We propose a suitable model to characterize the maneuvering acceleration and develop a state space model to describe the maneuvering target tracking problem. Algorithms based on particle filters are developed. Simulations are given to demonstrate the performance of the procedures.