Enabaling LPI/LPD in Wireless Communications Through Deep Learning
Abstract
The goal of this proposed activity is to bring machine learning closer to solving challenges in the physical layer of communication systems. Traditionally, communication system design has focused on exploiting tools such as adaptive signal processing and coding theoretic approaches to determine the best detection, estimation and encoding/decoding algorithms for communication systems. The advantage of the power of machine learning to improve performance is to reduce latency and improve accuracy of communication theoretic physical layer algorithms. In this proposal, we aim to better understand the benefits of machine learning in aiding communication systems. Specifically, our focus will be on detection and decoding in communication systems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 14, 2019
- Source ID
- W911NF1810422
Entities
People
- Sriram Vishwanath
Organizations
- Army Contracting Command
- United States Army
- University of Texas at Austin