The University of Arizona

Virginia Tech Intellectual Properties Inc

Tamal Bose

Hao Xin

Min Liang

Garrett Vanhoy

Ahmed Abdelrahman

Hamed Asadi

Mahi Abdelbar

Michael Marefat

William Tranter

A cognitive HF radio is disclosed having a cognitive engine that optimizes HF transmission parameters on the basis of learned experience with previous transmission under varying transmission and environmental conditions. Additionally, electrically small HF antennas optionally using non-Foster matching elements are disclosed. Furthermore, another electrically small HF antenna and associated impedance matching networks are disclosed, including an impedance matching network using non-Foster matching elements.

Cognitive HF radio with tuned compact antenna

Multiuser classification of the modulation schemes of simultaneous multiple unknown transmitters is disclosed. Cooperation among multiple cognitive radio receivers for modulation classification offers improvements in classification performance and overcomes detrimental channel effects that degrade single cognitive radio classifier performance. A centralized soft-combining data fusion algorithm based on the joint probability distribution of fourth order cumulants is presented for cooperative modulation classification. Fourth order cumulants of received signals are calculated as discriminating features for different modulation schemes at each cognitive radio node and sent to a centralized data node. The data node chooses the modulation scheme that maximizes the joint probability of the estimated cumulants.

Cooperative modulation of classification in cognitive radio networks

Growing community of inventors

Tucson, AZ, United States of America

Tamal Bose