174 / 2019-12-16 10:37:00
An ADMM for Target Detection in One-Bit Compressive Radar Sensing
ADMM; Compressive sensing; One-bit sampling
全文被拒
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.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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