Distributed cooperative signal classifier for cognitive radio
This technology enables a network of radio receivers to work together to identify which wireless transmission method (modulation scheme) an unknown signal is using, even when multiple unknown transmitters are broadcasting simultaneously. Each radio in the network independently analyzes incoming signals using a mathematical tool called fourth-order cumulants, then sends that data to a central coordinator. The coordinator pools all the inputs using a statistical best-fit algorithm to make a final, more accurate identification than any single radio could achieve alone. This cooperative approach is especially valuable in noisy or interference-heavy environments where a lone receiver would fail.
What you could build
A software module or embedded firmware for cognitive radio platforms that enables distributed spectrum sensing networks to classify unknown emitters in contested RF environments; primary buyers would be defense electronics integrators and spectrum monitoring system vendors.
Who in Virginia should care
Defense contractors and RF systems integrators clustered around Northern Virginia and the Hampton Roads corridor—particularly those supporting DARPA, NSA, or Navy spectrum operations—would be natural licensees.
Readiness: Lab validated
Concept — described but not yet demonstrated. Lab validated — supported by experimental results in the patent. Prototype likely — the text describes a built, working embodiment.
Readiness is inferred from the patent text, not from a lab visit.
The record
- Inventors
- Tamal Bose, Mahi Abdelbar, William Tranter, Garrett Vanhoy
- Granted
- November 22, 2016
- Status
- Granted patent
- Patent number
- 9503923
Ready to talk?
Virginia Tech Intellectual Properties handles licensing for this technology.
Prosim summaries are generated from public patent text and are not legal advice.