Optimal Adaptive Waveform Selection for Target Detection

Abstract

Modern phased array radars are able to adaptively modify their performance to the environment. To make full use of this capability, scheduling algorithms need to be designed. This paper poses the problem of adaptive waveform scheduling for detecting new targets in the context of finite horizon stochastic dynamic programming. The result is a scheduling algorithm that minimises the time taken to detect new targets, detecting these targets in accordance with importance, while minimising the use of radar resources.

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Document Details

Document Type
Technical Report
Publication Date
Apr 14, 2005
Accession Number
ADA445820

Entities

People

  • B. F. La Scala
  • R. J. Evans
  • William Moran

Organizations

  • University of Melbourne

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Beam Steering
  • Clutter
  • Detection
  • Electronic Mail
  • Engineering
  • Matched Filters
  • Phased Array Radar
  • Phased Arrays
  • Probability
  • Random Variables
  • Scheduling (Production)
  • Stochastic Control
  • Target Acquisition
  • Target Detection
  • United States Government
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Operations Research
  • Radar Systems Engineering.