Collaborative Interference Cancellation for Group Communications

Period of Performance: 05/18/2015 - 03/17/2016

$150K

Phase 1 SBIR

Recipient Firm

Azure Summit Technology, Inc.
3050 Chain Bridge Road, Suite 600 Array
Fairfax, VA 22030
Principal Investigator

Abstract

The proposed R&D effort develops techniques for collaborative communications for one-to-many, many-to-one, and many-to-many topologies. Measurements of the RF environment are shared to determine the best role for each node in the network-transmitter, receiver, or sensor. Collaboration provides an ability to extend range as well as an ability to cancel interference. A practical approach is proposed to limit inter-cluster communications and to mitigate the computational burden associated with collaboration.