Radar Based Non-Cooperative Target Recognition (NCTR) in the Low Airspace and Complex Surface Environments

Abstract

Anticipating ever increasing issues posed by the usage of Class I UAVs in conflict theaters and civilian environments, a wide range of counter unmanned aerial vehicles (UAVs) radar has been developed over the last years. Common to all of these systems, with the need to detect small and slow targets and potentially within complex environments, is the implementation of lower detection thresholds than conventional airspace surveillance radar. As a result, their capacity to detect small UAVs is indeed improved but it comes along with higher false alarm rates. False alarm regulation becomes then the main concern of all counter UAV radar designers. As proposed and tested in the previous phase by SET-180 Research Task Group (RTG), implementation in the radar signal processing of classification and Non Cooperative Target Recognition (NCTR) techniques constitute both promising approaches to mitigate this issue.

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Document Details

Document Type
Technical Report
Publication Date
Jan 21, 2021
Accession Number
AD1120922

Entities

Organizations

  • NATO Science and Technology Organization

Tags

Communities of Interest

  • Autonomy
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence Computing
  • Classification
  • Deep Learning
  • Detection
  • Detectors
  • Environment
  • False Alarms
  • Ku Band
  • Line Of Sight
  • Neural Networks
  • Radar
  • Radar Signals
  • Radar Signatures
  • Recognition
  • Signal Processing
  • Surveillance Radar
  • Target Recognition
  • Targets
  • Threat Evaluation
  • Unmanned Aerial Vehicles
  • Warning Systems

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - UAVs
  • Space
  • Space - Space Objects