Weak Target Detection in MIMO Radar via Beamspace Canonical Correlation
ID:107 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:381 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS04Structured Tensor And Matrix Methods For Sensing, Communications, And Machine Learning

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Abstract
Reliable detection and accurate estimation of weak targets and their Doppler frequencies is a challenging problem in MIMO radar systems. Reflections from such targets are often overpowered by those from stronger nearby targets and clutter. Considering a 3-D data model where the coherent processing interval comprises multiple pulses, a novel weak target detection and estimation approach is proposed in this paper. The proposed method is based on creating partially overlapping spatial beams, and performing canonical correlation analysis (CCA) in the resulting beamspace. It is shown that if a target is present in the overlapping sector, then its Doppler profile can be reliably estimated via beamspace CCA, even if hidden under much stronger interference from nearby targets and clutter. Numerical results are included to validate this theoretical claim, demonstrating that the proposed Beamspace Canonical Correlation (BCC) method yields considerable performance improvement over existing approaches.
Keywords
Weak target detection; MIMO radar; Canonical correlation analysis; Doppler estimation
Speaker
Mohamed Salah
University of Virginia, USA

Submission Author
Mohamed Salah University of Virginia, USA
Nikolaos D University of Virginia, USA
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  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

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  • Apr 15 2020

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  • Dec 31 2020

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