Energy Efficient Signal Detection for Army Applications Based on Ordering
Abstract
Several DoD agencies, including the U. S. Army have been committed to employing networks of sensors, often on unmanned platforms, to achieve battlefield superiority. However, as a recent report by the Committee on Network Science for Future Army Applications (a part of the National Research Council of the National Academies) indicates, network science is in its infancy. The report warns the theory of network operation is lacking and that study is needed to remedy this deficiency. Here we attempt to take some steps towards better fundamental understanding of sensor networks, a very important topic for the U. S. Army, with a particular focus on signal detection and estimation applications. The overall objective of this effort is to develop new network communication and signal processing (sensor processing) protocols for signal detection and estimation applications which will be energy efficient and robust. We have developed one approach called ordering which saves energy without any loss of performance. The approach was developed first for signal detection applications and more recently for estimation applications. The approach has been shown to be useful for networks of radar sensors, often called MIMO radars, which have also been investigated in this project.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2011
- Accession Number
- ADA559168
Entities
People
- Rick Blum
Organizations
- Lehigh University