Team: Feng Zhao (PI), Patrick Cheung, Leo Guibas, Jie Liu, Julia Juan Liu, Jim Reich
Student interns: Niru Bulusu, Elaine Cheong, Maurice Chu, Krishnan Eswaran, Qing Fang, Nitin Gupta, Judy Liebman, Jaewon Shin, Feng Xie
Address: Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 94304, USA

Objective

In an energy-constrained environment filled with low-observable targets, distributed arrays of sensors are an attractive way to detect, track, and identify targets.  Achieving tactical awareness using such decentralized systems requires moving beyond traditional signal processing towards the identification of structures within collections of spatio-temporally-distributed signal streams. The critical technical challenge is to aggregate, represent, and maintain the structure-level information from point-wise sensor data in an irregular, dynamic, resource-constrained network.

Our primary goal in this research is to enable applications such as tactical awareness by developing novel data interpretation approaches blending statistical and model-based techniques.

New Ideas

• Identify low-observable events by multi-level collaborative signal analysis
• Direct multiple sensing foci through distributed target hypothesis management
• Rapid detecion in energy-constrained environment by blending signal- and structural-level analysis

• Scalable to realistic target tracking problems
• Accurate, low-latency detection
• Energy-efficient

• Publications
• Project quadchart
• Recent accomplishments
• The 2nd International Workshop on Information Processing in Sensor Networks (IPSN'03),, Palo Alto, California, April 22-23, 2003
• Collaborative Signal Processing Workshop, Xerox PARC, January 14-16, 2001