Factor Analysis for Spectral Reconnaissance and Situational Understanding
Abstract
The goal of the STIR proposal is to investigate the use of tensor decompositions to perform RF tomography in a battlefield environment. Spectrum sensing techniques can be used to estimate compound spectra (comprising contributions from multiple transmitters), but identifying the constituent spectra and the locations of the ambient transmitters from the observed spectral mixtures is a challenge. The approach considered in this project is to utilize multiple linear arrays, spatial correlation lags, and frequency bins to create a tensor. Tensor decompositions will be utilized (such as PARAFAC) to locate emitters and to understand the overall spectrum utilization in the area. Research will include investigating robustness to jamming, censoring corrupt data, and potentially experimental validation.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510384
Entities
People
- Nikolaos Sidiropoulos
Organizations
- Army Contracting Command
- United States Army
- University of Minnesota