Optimization Techniques for Efficient Ballistic Trajectory Estimation.

Abstract

This work has dealt with the development of practical advanced multisensor-multitarget tracking algorithms for optimal processing of the information obtained from various remote sensing devices (e.g., radar) for tracking targets. The processing consists of filtering, i.e., state estimation of sensor data, across time, coupled with the fusion, i.e., association of that data, across sensors, wherein the main goals are overcoming the inherent limitations of real-world sensors (accuracy and reliability) due to noise and clutter while not sacrificing computational performance.

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Document Details

Document Type
Technical Report
Publication Date
Jun 14, 1996
Accession Number
ADA311409

Entities

People

  • Krishna R. Pattipati
  • Robert Popp
  • Yaakov Bar-Shalom

Organizations

  • University of Connecticut

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Ballistic Trajectories
  • Detectors
  • Filtration
  • Heuristic Methods
  • Mathematics
  • Multisensors
  • Multitarget Tracking
  • Optimization
  • Reliability
  • Remote Sensing
  • Statistical Algorithms
  • Trajectories

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Systems Analysis and Design