Volume 5 Issue 3
Jun.  2016
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Hu Cheng, Liu Changjiang, Zeng Tao. Bistatic Forward Scattering Radar Detection and Imaging[J]. Journal of Radars, 2016, 5(3): 229-243. doi: 10.12000/JR16058
Citation: Hu Cheng, Liu Changjiang, Zeng Tao. Bistatic Forward Scattering Radar Detection and Imaging[J]. Journal of Radars, 2016, 5(3): 229-243. doi: 10.12000/JR16058
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Bistatic Forward Scattering Radar Detection and Imaging

DOI: 10.12000/JR16058
  • 1.

    (School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

  • 2.

    (Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing 100081, China)

Funds:

The National Natural Science Foundation of China (61120106004, 61225005), The 111 Project of China (B14010)

  • Received Date: 2016-03-17
  • Rev Recd Date: 2016-05-16
  • Publish Date: 2016-06-28
    Abstract
  • Forward Scattering Radar (FSR) is a special type of bistatic radar that can implement image detection, imaging, and identification using the forward scattering signals provided by the moving targets that cross the baseline between the transmitter and receiver. Because the forward scattering effect has a vital significance in increasing the targets' Radar Cross Section (RCS), FSR is quite advantageous for use in counter stealth detection. This paper first introduces the front line technology used in forward scattering RCS, FSR detection, and Shadow Inverse Synthetic Aperture Radar (SISAR) imaging and key problems such as the statistical characteristics of forward scattering clutter, accurate parameter estimation, and multitarget discrimination are then analyzed. Subsequently, the current research progress in FSR detection and SISAR imaging are described in detail, including the theories and experiments. In addition, with reference to the BeiDou navigation satellite, the results of forward scattering experiments in civil aircraft detection are shown. Finally, this paper considers future developments in FSR target detection and imaging and presents a new, promising technique for stealth target detection.

     

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