5 / 2019-11-05 11:45:00
LPI-based Optimal Radar Power Allocation for Target Time Delay Estimation in Joint Radar and Communications System
Radar power allocation; joint radar and communications system; Cram閞-Rao lower bound (CRLB); low probability of intercept (LPI)
全文录用
Yijie Wang / NUAA, China
Chenguang Shi / Nanjing University of Aeronautics and Astronautics, China
Fei Wang / Nanjing University of Aeronautics and Astronautics, Nanjing, China
Jian-jiang Zhou / Nanjing University of Aeronautics and Astronautics, China
This paper explores the low probability of intercept (LPI)-based optimal radar power allocation for target time delay estimation in joint radar and communications system. The basis of LPI-based optimal radar power allocation is to minimize the total power consumption of radar system under the constraints of a specified target time delay estimation accuracy and a quality of service (QoS) of communications base station. The expression for Cram閞-Rao lower bound (CRLB) is analytically derived and applied to gauge target time delay estimation accuracy. The resulting optimization problem is non-convex, which can be solved by the approach of linear programming. Several numerical results are provided to verify the superiority of the proposed radar power allocation in terms of the LPI performance of radar system. It is also shown that the LPI performance of radar benefits from cooperation with the communication system by reducing the total radiated energy of radar.
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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