Compressive Sensing for Radar and Radar Sensor Networks

Abstract

In this project, compressive sensing for radar and radar sensor networks were studied. Significant results have been achieved in the following aspects: Compressive Sensing in Radar Sensor Networks Using Pulse Compression Waveforms; Theoretical Performance Bounds for Compressive Sensing with Random Noise; Compressive Sensing in Radar Sensor Networks for Target RCS Value Estimation; Rate Distortion Performance Analysis of Compressive Sensing; etc. Three PhD students were directly supported by this project, and have graduated. Major recognitions and awards associated with the sponsored research were conferred to the PI. 21 journal papers and 30 conferences papers were published or presented, and a complete list is attached in this report.

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Document Details

Document Type
Technical Report
Publication Date
Dec 02, 2013
Accession Number
ADA594976

Entities

People

  • Qilian Liang

Organizations

  • University of Texas at Arlington

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Communication Systems
  • Compressed Sensing
  • Detection
  • Detectors
  • Electrical Engineering
  • Information Operations
  • Information Theory
  • Military Operations
  • Mimo Radar
  • Pulse Compression
  • Radar
  • Sensor Networks
  • Signal Processing
  • Synthetic Aperture Radar
  • Target Detection
  • Wireless Communications
  • Wireless Sensor Networks

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • STEM Education
  • Sensor Fusion and Tracking Systems.