Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
A localization-error-based method for microphone-array design
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Direct joint source localization and propagation speed estimation
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Maximum likelihood methods for bearings-only target localization
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
Blind beamforming on a randomly distributed sensor array system
IEEE Journal on Selected Areas in Communications
Distributed optimization in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A kernel-based learning approach to ad hoc sensor network localization
ACM Transactions on Sensor Networks (TOSN)
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IEEE Transactions on Parallel and Distributed Systems
Dynamic Sensor Self-Organization for Distributive Moving Target Tracking
Journal of Signal Processing Systems
Tradeoff between estimation performance and sensor usage in distributed localisation problems
International Journal of Ad Hoc and Ubiquitous Computing
Channel aware target localization with quantized data in wireless sensor networks
IEEE Transactions on Signal Processing
Tracking in wireless sensor networks using particle filtering: physical layer considerations
IEEE Transactions on Signal Processing
An energy-efficient target tracking framework in wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Collaborative signal and information processing in wireless sensor networks: a review
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Acoustic target tracking using tiny wireless sensor devices
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Considerations on acoustic source localization
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Consistency-Based on-line localization in sensor networks
DCOSS'06 Proceedings of the Second IEEE international conference on Distributed Computing in Sensor Systems
Cooperative target localization method for heterogeneous sensor networks
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Exploiting data fusion to improve the coverage of wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
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A novel source localization approach using acoustic energy measurements from the individual sensors in the sensor field is presented. This new approach is based on the acoustic energy decay model that acoustic energy decays inverse of distance square under the conditions that the sound propagates in the free and homogenous space and the targets are pre-detected to be in a certain region of the sensor field. This new approach is power efficient and needs low communication bandwidth and therefore, is suitable for the source localization in the distributed sensor network system. Maximum Likelihood (ML) estimation with Expectation Maximization (EM) solution and projection solution are proposed to solve this energy based source location (EBL) problem. Cramer-Rao Bound (CRB) is derived and used for the sensor deployment analysis. Experiments and simulations are conducted to evaluate ML algorithm with different solutions and to compare it with the Nonlinear Least Square (NLS) algorithm using energy ratio function that we proposed previously. Results show that energy based acoustic source localization algorithms are accurate and robust.