Mathematical and Algorithmic Challenges for Fully Adaptive Radar (Preprint)

Abstract

Several factors such as difficult targets, embedded in complex clutter and competing background target settings and coupled with increasingly severe intentional and unintentional RF interference continue to increase the complexity and challenges of modern high performance radars. The cognitive fully adaptive radar (CoFAR) was introduced to meet the challenges of increasingly complex operating environments. The CoFAR features fully adaptive transmit, receive, and controller/scheduler functions by learning and understanding the complete multi-dimensional radar channel (targets, clutter, interference, etc.) via a sense-learn-adapt (SLA) approach. The system enables to jointly optimize the adaptive transmit and receive functions by estimating the radar channel comprising of clutter and other interfering signals.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2020
Accession Number
AD1116567

Entities

People

  • Muralidhar (Murali) Rangaswamy

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Air Force Research Laboratories
  • Algorithms
  • Channel Estimation
  • Computational Complexity
  • Environment
  • Filters
  • Military Research
  • Optimization
  • Radar
  • Radio Frequency Interference
  • Signal Detection
  • Signal Processing
  • Simulations
  • Target Tracking
  • United States

Readers

  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.
  • Radio communications and signal processing.