Self-optimizing adaptive modem for contested RF environments
This technology uses two coordinated neural networks — one to encode information for transmission and one to decode it upon receipt — to automatically learn the best way to communicate over a radio channel. Rather than relying on hand-engineered signal processing rules, the system trains itself by measuring how much information is lost or distorted during transmission and continuously adjusting both the encoder and decoder to minimize that error. The result is a wireless communication system that adapts to the specific characteristics of its channel, potentially outperforming conventional modulation and coding schemes in challenging or unpredictable RF environments. It effectively treats the entire transmitter-channel-receiver pipeline as a single trainable system.
What you could build
An adaptive RF modem or software-defined radio module that self-optimizes for difficult or contested communication environments, sold to defense contractors, satellite communication providers, or private wireless network operators who need reliable links under non-standard conditions.
Who in Virginia should care
Northern Virginia and the Hampton Roads corridor host major defense primes, DARPA contractors, and Navy communications programs that actively seek adaptive RF and cognitive radio capabilities.
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
- —
- Granted
- February 26, 2019
- Status
- Granted patent
- Patent number
- 102845
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.