35 / 2019-12-08 07:25:00
Waveform Design For Track-Before-Detect-Based Cognitive Radars
Cognitive radar; cubature Kalman filter; track before detect; waveform design
全文录用
Chaoqun Yang / Nanjing Research Institute of Electronics Technology, China
Xiaofeng Wang / Nanjing University, China
Heng Zhang / Jiangsu Ocean University, China
Yu Zheng / Nanjing Research Institute of Electronics Technology, China
Detect-before-track-based cognitive radars in which
threshold detections are taken as the input of tracking, irre-
versibly result in high false alarm under the case of low signal-
to-noise ratio (SNR). To solve this problem, in this paper, we
propose a framework of cognitive radars based on track-before-
detect (TBD) technique. This framework includes the TBD mea-
surement model consisting of received ambiguity function without
threshold detection, cubature Kalman filter to estimate target
state, and the feedback mechanism and optimization criterion for
the next transmitted waveform. In particular, waveform design
problem in the TBD-based cognitive radars is emphasized. This
work opens the door to the cognitive radars based on TBD
technique, and reveals their potential in target tracking under
the case of low SNR. Numerical results demonstrate that better
target tracking performance can be achieved by the TBD-based
cognitive radars, as compared with conventional radars.
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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