Target Reflectivity Characterization for FDA Radar
ID:154 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:558 Oral Presentation

Start Time:2020-06-08 14:40(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS05Waveform Diverse Array Radar

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Abstract
As an emerging array processing technique, frequency diverse array (FDA) differs from conventional phased-array in that it employs a frequency increment across the array elements. The use of frequency increment provides FDA with an array factor with joint range-angle dependency, which finds wide applications in joint range-angle target localization and range-dependent interference/clutter suppression. In the open literature, an ideal point-like target in far field is generally assumed for FDA signal modelling. However, the reflectivity characterization for more realistic targets, which are not ideally point-like and even extended in range and azimuth angle, has not been reported for FDA radar. In this paper, we establish an echo signal model of FDA radar for a general target, and then analyze the statistics of the echo signal amplitude. More specifically, we reveal the amplitude de-correlation property between different FDA elements due to the use of frequency increment, which provides useful insight into frequency increment design. The target reflectivity characteristic analysis is validated by numerical results.
Keywords
frequency diverse array; radar cross section; reflection coefficient; frequency de-correlation; extended target
Speaker
Ronghua Gui
University of Electronic Science and Technology of China, China

Submission Author
Ronghua Gui University of Electronic Science and Technology of China, China
Wen-Qin Wang University of Electronic Science and Technology of China, China
Hing Cheung City University of Hong Kong, Hong Kong
Can Cui Shanghai Electronic Mechanical Institute
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

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  • Dec 31 2020

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Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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