MIMO Radar Aperture Optimization

Abstract

In a multiple-input, multiple-output (MIMO) radar system, two or more transmitters emit independent waveforms, with the resulting reflections received by an array of receivers. Recently, MIMO radar has become a subject of great interest. In part, this interest is due to the potential for MIMO techniques to reduce radar weight and cost, while maintaining performance (as compared with conventional radar approaches). However, the size of these reductions has not yet been quantified. Likewise, a design process that minimizes aperture cost (or weight) has yet to be developed. This report describes a process for designing optimal radar apertures. The process treats the design problem as one of minimizing an objective function under performance constraints. The objective function is based upon a first-order model for the relationship between cost (or weight) and performance, and is derived for systems employing active, element-digitized arrays. A systematic process for optimizing the aperture's design with respect to this objective function is presented, and equations describing the optimal aperture are derived. These equations provide insight into the optimal relationship between various aperture characteristics, such as the number of transmitters, number of receivers, module power level, and virtual array length.

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Document Details

Document Type
Technical Report
Publication Date
Jan 25, 2011
Accession Number
ADA536191

Entities

People

  • D. J. Rabideau

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Cost Models
  • Electronically Scanned Array
  • Energy Management
  • Equations
  • Matched Filters
  • Mimo Radar
  • Multiple Input Multiple Output
  • Phased Array Radar
  • Phased Arrays
  • Power Conditioning
  • Power Levels
  • Radar
  • Search Radar
  • Signal Processing
  • Transmitters
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Regression Analysis.