174 / 2019-12-16 10:37:00
An ADMM for Target Detection in One-Bit Compressive Radar Sensing
ADMM; Compressive sensing; One-bit sampling
Draft Rejected
Majid Naji / Sharif University of Technology, Canada
Mohammad Mahdi / Isfahan University of Technology & Uppsala University, Iran
Maryam Masjedi / Isfahan University of Technology, Iran
Jian Li / University of Florida, USA
Heng Zhu / University of Science and Technology of China, China
In this paper, we consider the problem of compressive radar sensing via one-bit sampling with time varying threshold. The system model and target detection problem are presented leading to a non-smooth optimization. To deal with this
sparse optimization problem, we propose an efficient algorithm based on alternating direction method of multipliers (ADMM) approach. The proposed method is then numerically compared with a benchmark in terms of solution accuracy and computational complexity. Simulation results illustrate that the proposed method significantly reduces the computational complexity while its solution almost coincide with the optimal one.
Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

Sponsored By
IEEE Signal Processing Society
Organized By
Zhejiang University
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