Predictive Antijam Artificial Intelligence Receivers (PAIR)

Abstract

The Predictive Antijam Artificial Intelligence Receivers (PAIR) program aims to develop a next-generation artificial intelligence (AI)-enabled antijam receiver, to enable reliable communications links in a fully congested spectrum. Today's mission-relevant communication spectrum has become increasingly congested, leading to signal loss, signal distortion and link loss. Today's state-of-the-art receivers utilize analog limiters and filters, power hungry oversampling analog to digital converters, and advanced digital signal processing to attempt to operate through the spectrum clutter, but struggle to maintain dynamic range and signal quality at the receiver. To be successful, the PAIR program will leverage advances in predictive AI-controlled filters and analog to digital converters, as well as neural network digital signal processing producing low latency real-time feedback to the receiver components. These innovations will deliver intelligent in-band interference removal, low-power high dynamic range analog to digital signal conversion, and efficient back end neural net signal processing to produce a high data rate communication link with unparalleled hardware dynamic range. The PAIR program will enable new capabilities in tactical and long-range radio frequency (RF) communication systems, addressing future military needs for assured, on-demand, antijam information delivery, in environments where today communication would be impossible.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2024
Source ID
de4d9c0550474809d5587569e2d973ec

Tags

Fields of Study

  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks

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