Fast Multiscale Algorithms for Information Representation and Fusion

Abstract

In the fifth quarter of the work effort, we focused on (a) conducting experiments on real-world data sets using the developed algorithms, (b) design of the Multiscale Singular Value Decomposition (SVD) algorithm, (c) preliminary design of the Multiscale Heat-Kernel Coordinates algorithm and (d) fine tuning and bug fixes for the randomized SVD and ANN algorithms. This report documents the line-of-sight experiments using radio-frequency (RF) data. The project is currently on track in the upcoming quarters, we will continue applying the developed algorithms to various data sets and implement the multiscale SVD and heat-kernel coordinates algorithms. No problems are currently anticipated. Line of sight experiments conducted in this quarter using the developed algorithms. The objective here is to answer if one can determine if a received signal consists of signal+multipath, or direct signal only using sampled RF signal measurements. Measurements are performed by placing a signal source in a known location and driving a route with several types of multipath conditions. This knowledge is important in geolocation applications where knowing whether a received signal is line-of-sight (or not) is necessary for other algorithms to work.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2011
Accession Number
ADA553728

Entities

People

  • Devasis Bassu

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Data Analysis
  • Data Sets
  • Decomposition
  • Diffusion
  • Eigenvalues
  • Global Positioning Systems
  • Information Operations
  • Line Of Sight
  • Mathematics
  • Measurement
  • Military Research
  • Power Measurement
  • Signal Generators
  • Standards
  • Two Dimensional

Readers

  • Computational Fluid Dynamics (CFD)
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.