Wireless integrated network sensors
Communications of the ACM
Algorithmic transforms for efficient energy scalable computation
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Energy-Scalable Protocols for Battery-Operated MicroSensor Networks
Journal of VLSI Signal Processing Systems - Special issue on signal processing systems design and implementation
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Time Synchronization for Wireless Sensor Networks
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Data-centric storage in sensornets
ACM SIGCOMM Computer Communication Review
Fine-grained network time synchronization using reference broadcasts
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
Matching data dissemination algorithms to application requirements
Proceedings of the 1st international conference on Embedded networked sensor systems
Application-specific compression for time delay estimation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Data-centric routing and storage in sensor networks
Wireless sensor networks
Guest Editorial: Special Section on Mission-Oriented Sensor Networks
IEEE Transactions on Mobile Computing
Analysis and VLSI Realization of a Blind Beamforming Algorithm
Journal of VLSI Signal Processing Systems
Fine-grained network time synchronization using reference broadcasts
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
The design and implementation of a self-calibrating distributed acoustic sensing platform
Proceedings of the 4th international conference on Embedded networked sensor systems
A self-calibrating distributed acoustic sensing platform
Proceedings of the 4th international conference on Embedded networked sensor systems
Energy-based collaborative source localization using acoustic microsensor array
EURASIP Journal on Applied Signal Processing
EURASIP Journal on Advances in Signal Processing
Cooperative multibeamforming in ad hoc networks
EURASIP Journal on Advances in Signal Processing
Simultaneous localization of mobile robot and multiple sound sources using microphone array
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Estimation of sound source number and directions under a multi-source environment
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Energy-constrained collaborative processing for target detection, tracking, and geolocation
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Energy based acoustic source localization
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Wireless sensor network for volcano environments
ACM SIGBED Review - Special Issue on the 2nd International Workshop on Adaptive and Reconfigurable Embedded Systems (APRES'09)
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Estimation of sound source number and directions under a multisource reverberant environment
EURASIP Journal on Advances in Signal Processing
EURASIP Journal on Wireless Communications and Networking
Optimal scheduling for networks of RFID readers
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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We consider a digital signal processing sensor array system, based on randomly distributed sensor nodes, for surveillance and source localization applications. In most array processing the sensor array geometry is fixed and known and the steering array vector/manifold information is used in beamformation. In this system, array calibration may be impractical due to unknown placement and orientation of the sensors with unknown frequency/spatial responses. This paper proposes a blind beamforming technique, using only the measured sensor data, to form either a sample data or a sample correlation matrix. The maximum power collection criterion is used to obtain array weights from the dominant eigenvector associated with the largest eigenvalue of a matrix eigenvalue problem. Theoretical justification of this approach uses a generalization of Szego's (1958) theory of the asymptotic distribution of eigenvalues of the Toeplitz form. An efficient blind beamforming time delay estimate of the dominant source is proposed. Source localization based on a least squares (LS) method for time delay estimation is also given. Results based on analysis, simulation, and measured acoustical sensor data show the effectiveness of this beamforming technique for signal enhancement and space-time filtering