Data Fusion for Least Squares

Abstract

The wide array of uses for least-squares estimation testifies to its effectiveness. The key to structuring a problem for at least-squares solution is finding a Markov representation of the problem. This representation defines a recursive approach to estimation. When multiple estimates are available at each time step, the processing time can be decreased by using data fusion networks to reduce the information to a single estimate. Hierarchical networks, using both parallel and serial combination of data, can be devised. The cases presented herein can be used to preprocess the for any recursive least-squares method.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1991
Accession Number
ADA243507

Entities

People

  • Andrew A. Thompson Iii

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Commerce
  • Data Fusion
  • Data Science
  • Engineering
  • Estimators
  • Information Processing
  • Information Science
  • Least Squares Method
  • Mathematics
  • Measurement
  • Projectiles
  • Recursive Functions
  • Security
  • Standards
  • Statistical Analysis
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.