Collaborative Signal Processing
This workshop aims to bring together researchers from distributed signal processing and low-power wireless sensor networks to identify and address challenge problems in collaborative signal processing (CSP). Recent advances in MEMS, wireless networking, and distributed signal processing have enabled a new generation of sensor networks. However, unlike more traditional centralized ATR systems, distributed sensor nets are characterized by limited battery power, frequent node attrition, and variable data and communication quality. To scale up to more realistic battlefield tracking and classification applications involving multiple targets, heterogeneous sensing modalities, and non-uniform spatio-temporal scales, these systems have to rely primarily on collaboration among distributed sensors to significantly improve tracking accuracy and reduce detection latency. This workshop will take a systemic approach to investigate key issues such as distributed signal processing, progressive accuracy, power management, spatial resolution, and high-level information processing for sensor nets.
In particular, here is a set of questions we would like the workshop participants to address:
Thank you for helping make this workshop a success!
Xerox PARC DARPA