Joint Transmit Waveforms and Receive Filters Design for Large-Scale MIMO Beampattern Synthesis
ID:30 View Protection:ATTENDEE Updated Time:2020-08-05 10:16:59 Hits:462 Oral Presentation

Start Time:2020-06-09 14:40(Asia/Shanghai)

Duration:20min

Session:R Regular Session » R10MIMO Systems

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Abstract
In this paper, the joint design of transmit waveforms and receive filters for multiple-input multiple-output (MIMO) beampattern synthesis problem is considered. This problem is formulated to approximate a desired transmit beampattern (i.e., an energy distribution in space and frequency) and to minimize the cross-correlation of waveform signals between different spatial angles by considering various practical waveform constraints. The optimization problem is highly nonconvex due to the nonconvexity of the objective function as well as the waveform constraints. To solve this problem, an efficient algorithm is proposed based on the block majorization-minimization (BMM) method. Performance of the proposed algorithm compared to the state-of-the-art is demonstrated through numerical simulations.
Keywords
Multiple-input multiple-output (MIMO) system; waveform diversity; mismatched filter bank; beampattern design; nonconvex optimization
Speaker
Ziping Zhao
ShanghaiTech University, China

Submission Author
Ziping Zhao ShanghaiTech University, China
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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

    Early Bird Registration

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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