5G signal processing artificial intelligence (AI)
ROME, N.Y. – U.S. Air Force researchers needed small and lightweight real-time 5G communications signal processing for command and control. They found a solution from Geon Technologies LLC in Columbia, Md.
Officials of the Air Force Research Laboratory Information Directorate in Rome, N.Y., announced a $9.9 million order to Geon Technologies on Thursday for 5G-related signal processing.
Geon experts will develop real-time signal processing for command and control, and size-, weight-, and power-constrained systems to capitalize on next-generation 5G communications waveforms and technologies.
Geon will focus on developing a 5G scanner to map out the 5G radio frequency environment and develop cyber security technologies for 5G communications.
Geon specializes in RF communications for military and intelligence applications. The company’s expertise revolves around software-defined radio applications; field-programmable gate array (FPGA) and digital signal processing (DSP) chips; signal processing, and geolocation techniques.
The company provides software-defined radio programming using embedded processors, server class general-purpose processors, and special-purpose processors like graphics process units (GPUs) and digital signal processors (DSPs).
Related: What 5G means to the military
Geon has expertise in artificial intelligence (AI) and machine learning; cognitive radio; cyber offense; low-probability-of-intercept (LPI) and low-probability-of detection (LPD) waveform design; RF cyber defense; and spread-spectrum technologies.
The company also has expertise in computer hardware design such as FPGA and DSP cards for hard-real-time embedded computing, as well as blade and server farm architectures that use multi-core processing and high performance computing (HPC). Geon also has expertise in satellite communications (SATCOM), signals analysis, signal recognition, and RF emitter identification.
On this order, Geon will do the work in Rome, N.Y., and should be finished by May 2027. For more information contact Geon Technologies online at https://geontech.com, or the Air Force Research Lab Information Directorate at www.afrl.af.mil/RI.
