Practical Co-Prime and Nested Samplers and Arrays for Radar and Radar Sensing Networks

Abstract

This project is to develop practical co-prime and nested samplers and arrays for radar, radar sensor networks, and wireless communications. The proposed algorithms have been evaluated using real world radar and radar sensor network data, and have led to practical methodologies, algorithms and design tools with performance robust to uncertainty and adaptive to variations in dynamic operating conditions of radar and radar sensor networks. Major research tasks include: 1) Co-Prime and Nested Samplers for Radar Waveform Design, 2) Co-Prime and Nested Samplers for Non-stationary Signals, 3) Co-Prime and Nested Samplers and Arrays for Synthetic Aperture Radar Imaging, 4) Co-Prime and Nested Samplers and Arrays for Radar Sensor Networks, 5) Co-prime and nested arrays for wireless communications. 10 Ph.D students and 7 M.S. students have been supported by this ONR project and graduated with Ph.D and M.S. degrees. Of these 17 Ph.D/M.S. students, 4 Ph.D students and 2 M.S. students are women.

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Document Details

Document Type
Technical Report
Publication Date
Jun 12, 2018
Accession Number
AD1064427

Entities

People

  • Qilian Liang

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Communication Networks
  • Communication Systems
  • Compressed Sensing
  • Computational Complexity
  • Detection
  • Detectors
  • Heterogeneous Networks
  • Information Processing
  • Multiple Input Multiple Output
  • Radar
  • Sensor Networks
  • Signal Processing
  • Two Dimensional
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Distributed Systems and Data Platform Development
  • Military History
  • Radar Systems Engineering.