Compressive Sensing for Radar Signals: Part 1: Probabilistic Approach

Abstract

Compressive sensing (CS) has received considerable research interest recently. CS has been successfully applied in many applications, such as high-resolution image processing, wireless communication, electronic signal capturing and biomedical imaging systems [1]. In the context of radar, the number of potential targets is often limited. Hence, exploiting the sparsity of radar signals in various spaces, CS has been recently applied to multiple-input multiple-output (MIMO) radar systems.

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Document Details

Document Type
Technical Report
Publication Date
Feb 03, 2015
Accession Number
AD1004330

Entities

People

  • Francois Chan
  • Il-min Kim
  • Mingbo Niu

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Carrier Frequencies
  • Compressed Sensing
  • Contracts
  • Doppler Effect
  • Eigenvalues
  • Engineering
  • Equations
  • Gaussian Distributions
  • High Resolution
  • Image Processing
  • Measurement
  • Mimo Radar
  • Multiple Input Multiple Output
  • Probability
  • Radar
  • Random Variables

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Biotechnology
  • Microelectronics
  • Space
  • Space - Space Objects