MIMO Radar: A Multi-Sensor Spatially Diverse Radar Architecture

Abstract

The research supported by this grant: (a) provides an in depth analysis of the localization accuracy gain attainable with the MIMO radar systems by means of the Cramer-Rao Lower bound (b) introduces the geometric dilution of precision (GDOP) metric and the contour mapping, providing an insight into the relative performance accuracy for a given layout of radars over a given geographic area. These plots offer a clear understanding of the collaboration effect of different sensor scheme on the resulting accuracy. Furthermore, target localization estimators were developed and evaluated (c) presents the analysis on the ambiguity arising in the high resolution localization due to side-lobe characteristics of the MIMO system and viable solutions to the problem. This report documents our work on MIMO radar with widely separated antennas thus called "distributed MIMO radar". Widely separated transmit/receive antennas capture the spatial diversity of the target's radar cross section (RCS). For target location, it is shown that coherent processing can provide a resolution far exceeding that supported by the radar's waveform.

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Document Details

Document Type
Technical Report
Publication Date
Aug 28, 2008
Accession Number
ADA495118

Entities

People

  • Alexander M. Haimovich

Organizations

  • New Jersey Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Antenna Radiation Patterns
  • Antennas
  • Communication Systems
  • Detection
  • Detectors
  • Direction Finding
  • Doppler Effect
  • Estimators
  • High Resolution
  • Mimo Radar
  • Multiple Input Multiple Output
  • Phased Array Radar
  • Phased Arrays
  • Probability Density Functions
  • Radar
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Radar Systems Engineering.
  • Radio communications and signal processing.