Efficient Recursive Batch Time Delay Difference Estimation in the Presence of Target Motion.

Abstract

The optimum batch process for estimating time delay difference parameters of a single moving target from a time delay history of two sensor measurements is investigated. The derived process simultaneously entails (1) maximizing the product of the measured cross correlation function with the expected cross correlation function (MISMATCH function) over the block of observations and (2) minimizing the squared error of the estimated time delay difference trajectory with respect to the expected model of the time delay difference trajectory. Two major numerical algorithms were derived to implement the derived process. The first was based on discrete dynamic programming techniques. The second on continuous gradient search techniques. Both algorithms were developed to be efficient recursive batch processors with good initialization characteristics. In addition, a target power spectrum estimate was derived. Simulation and theoretical studies were conducted to determine the optimum parameter selection for the derived algorithms. The optimum ranges for algorithm parameters were determined subject to the target dynamic state and the signal to noise ratio (SNR).

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Document Details

Document Type
Technical Report
Publication Date
Jul 17, 1986
Accession Number
ADA173396

Entities

People

  • Robert A. Latourette

Organizations

  • Naval Underwater Systems Center

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programming
  • Computer Simulations
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Dynamic Programming
  • Energy Bands
  • Information Science
  • Measurement
  • Moving Targets
  • Observation
  • Plastic Explosives
  • Power Spectra
  • Statistical Algorithms
  • Statistics

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Statistical inference.