An Approximate Solution Technique for the Constrained Search Path Moving Target Search Problem.

Abstract

A search is conducted for a target moving in discrete time among a finite number of cells according to a known Markov process. The searcher must choose one cell in which to search in each time period. The set of cells from which he can choose is a function of the cell chosen in the previous time period. The problem is to find a searcher path, i.e., a sequence of search cells, that minimizes the probability of not detecting the target in a fixed number of time periods. The problem is formulated as a nonlinear program and solved for a local optimum by a simple implementation of the convex simplex method.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1985
Accession Number
ADA161045

Entities

People

  • James N. Eagle
  • James. R. Yee

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computers
  • Detection
  • Dynamic Programming
  • Mainframe Computers
  • Markov Processes
  • Mathematics
  • Moving Targets
  • Nonlinear Programming
  • Operations Research
  • Probability
  • Sequences
  • Simplex Method
  • Systems Engineering
  • Transitions

Fields of Study

  • Mathematics

Readers

  • Operations Research
  • Sensor Fusion and Tracking Systems.