Work

Computer vision quickly identifies radio signals with unlimited accuracy

Year: 2024
Type: article
Abstract: A seminal component of systems thinking is the application of an advanced technology in one domain to solve a challenging problem in a different domain. This article introduces a method of using advanced computer vision to solve the challenging signal processing problem of specific emitter identification. A one-dimensional signal is sampled; those samples are transformed into to two-dimensional images by computing a bispectrum; those images are evaluated using advanced computer vision; and the results are statistically combined until any user-selected level of classification accuracy is obtained. In testing on a published DARPA challenge dataset, for every eight additional signal samples taken from a candidate signal (out of many thousands), classification error decreases by an entire order of magnitude.
Institution: Virginia Tech
Language: English
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W4402350552
FWCI: 0.149
Cites: 11
Cited by: 1
Related to: 10