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High-resolution imaging using a wideband MIMO radar system with two distributed arrays.

Dang-wei Wang1, Xiao-yan Ma, A-Lei Chen

  • 1Department of information and Command Automation, Wuhan Radar Academy, Wuhan 430019, China. wdwjane@tom.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 7, 2010
PubMed
Summary

This study introduces a wideband multiple-input multiple-output (MIMO) radar system using two distributed arrays. This approach reduces hardware complexity for imaging fast maneuvering targets, offering a cost-effective alternative to traditional methods.

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Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Target Imaging

Background:

  • Imaging fast maneuvering targets is challenging.
  • Traditional inverse synthetic aperture radar (ISAR) requires complex motion compensation.
  • Multi-element antennas increase hardware complexity and cost.

Purpose of the Study:

  • To propose a wideband multiple-input multiple-output (MIMO) radar system with reduced hardware complexity.
  • To present a novel imaging method for fast maneuvering targets.
  • To offer a cost-effective solution for radar imaging systems.

Main Methods:

  • A wideband MIMO radar system with two distributed arrays is designed.
  • The system model, equivalent array production, and imaging procedures are detailed.

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  • Additive virtual array elements are generated to enhance imaging capabilities.

    • Main Results:

    • The proposed MIMO radar system significantly reduces hardware complexity compared to traditional ISAR.
    • The method allows for the creation of numerous virtual array elements.
    • Numerical simulations validate the effectiveness of the system and imaging procedure.

    Conclusions:

    • The developed wideband MIMO radar system offers a practical solution for imaging fast maneuvering targets.
    • This approach achieves lower hardware complexity and cost-effectiveness.
    • The method provides a valuable alternative to existing radar imaging techniques.