FILTERING NONLINEAR MEASUREMENTS.

Abstract

An algorithm is developed for estimating the state of a linear dynamic system excited by a random sequence. The input data are noisy observations which are nonlinear functions of the state. The estimates are best in the sense of least squared residuals. A significant problem in radar tracking is investigated and the effectiveness of the algorithm verified. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1966
Accession Number
AD0809441

Entities

People

  • Ralph E. Hudson

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Filtration
  • Mathematics
  • Measurement
  • Observation
  • Radar Tracking
  • Residuals
  • Sequences

Readers

  • Approximation Theory.
  • Molecular Photonics/Laser Physics