Fully Adaptive Radar Resource Allocation for Tracking and Classification (Preprint)

Abstract

Modern digital radars offer unprecedented flexibility in their waveforms, radar parameter settings, and transmission schemes in order to support multiple radar system objectives including target detection, tracking, classification, and other functions. This flexibility provides the potential for improved system performance, but requires a closed-loop sense and respond approach to realize that potential. The concept of fully adaptive radar (FAR), also called cognitive radar [15], is to mimic the perception-action cycle (PAC) of cognition [6] to adapt the radar sensor in this closed-loop manner. In this work, we apply the FAR concept to the radar resource allocation (RRA) problem to decide how to allocate finite radar resources such as time, bandwidth, and antenna beamwidth to multiple competing radar system tasks and decide the transmission parameters for each task so that radar resources are used efficiently and system performance is optimized.

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Document Details

Document Type
Technical Report
Publication Date
Oct 18, 2021
Accession Number
AD1150375

Entities

People

  • Aaron Brandewie
  • Chris Kreucher
  • Joel T. Johnson
  • Kristine L. Bell

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Algorithms
  • Computational Complexity
  • Computational Science
  • Detection
  • Detectors
  • Filters
  • Information Processing
  • Information Science
  • Kalman Filters
  • Multitarget Tracking
  • Probability
  • Radar
  • Signal Processing
  • Target Tracking
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Radar Systems Engineering.