Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Fundamentals of wireless communication
Fundamentals of wireless communication
Energy-based collaborative source localization using acoustic microsensor array
EURASIP Journal on Applied Signal Processing
Channel aware target localization with quantized data in wireless sensor networks
IEEE Transactions on Signal Processing
Energy based acoustic source localization
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Posterior Cramer-Rao bounds for discrete-time nonlinear filtering
IEEE Transactions on Signal Processing
Target Location Estimation in Sensor Networks With Quantized Data
IEEE Transactions on Signal Processing
Channel aware decision fusion in wireless sensor networks
IEEE Transactions on Signal Processing
Fusion of decisions transmitted over Rayleigh fading channels in wireless sensor networks
IEEE Transactions on Signal Processing
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
On Energy-Based Acoustic Source Localization for Sensor Networks
IEEE Transactions on Signal Processing
Target Tracking by Particle Filtering in Binary Sensor Networks
IEEE Transactions on Signal Processing
Fusion of censored decisions in wireless sensor networks
IEEE Transactions on Wireless Communications
Detection Performance Limits for Distributed Sensor Networks in the Presence of Nonideal Channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
Channel-optimized quantizers for decentralized detection in sensor networks
IEEE Transactions on Information Theory
Dynamic sensor collaboration via sequential Monte Carlo
IEEE Journal on Selected Areas in Communications
Robust tracking algorithm for wireless sensor networks based on improved particle filter
Wireless Communications & Mobile Computing
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Computers and Electrical Engineering
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In this paper, a new framework for target tracking in a wireless sensor network using particle filters is proposed. Under this framework, the imperfect nature of the wireless communication channels between sensors and the fusion center along with some physical layer design parameters of the network are incorporated in the tracking algorithm based on particle filters. We call this approach "channel-aware particle filtering." Channel-aware particle filtering schemes are derived for different wireless channel models and receiver architectures. Furthermore, we derive the posterior Cramer-Rao lower bounds (PCRLBs) for our proposed channel-aware particle filters. Simulation results are presented to demonstrate that the tracking performance of the channel-aware particle filters can reach their theoretical performance bounds even with relatively small number of sensors and they have superior performance compared to channel-unaware particle filters.