Volume 8 Issue 3
Jun.  2019
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ZUO Lei, CHAN Xiuxiu, LU Xiaofei, et al. A weak target detection method in sea clutter based on joint space-time-frequency decomposition[J]. Journal of Radars, 2019, 8(3): 335–343. doi: 10.12000/JR19035
Citation: ZUO Lei, CHAN Xiuxiu, LU Xiaofei, et al. A weak target detection method in sea clutter based on joint space-time-frequency decomposition[J]. Journal of Radars, 2019, 8(3): 335–343. doi: 10.12000/JR19035

A Weak Target Detection Method in Sea Clutter Based on Joint Space-time-frequency Decomposition

DOI: 10.12000/JR19035
Funds:  The National Natural Science Foundation of China (61871307), The Aviation Fund (20170181001)
More Information
  • Corresponding author: ZUO Lei, lzuo@mail.xidian.edu.cn
  • Received Date: 2019-02-28
  • Rev Recd Date: 2019-06-13
  • Available Online: 2019-06-24
  • Publish Date: 2019-06-01
  • The target on the sea destroys the movement of the sea and affects an area around the target. Therefore, radar echoes from a target on the sea can be found in several successive range cells. Analysis of the echoes shows that the echoes of the target have a long range correlation in space. In this paper, we propose a target detection method by using the joint space-time-frequency decomposition, according to the diffidence between the target echoes and the sea clutter. Therein, the cross S-Method is proposed, which can be considered as the summation of the cross Wigner-Ville representations of the signal components and the sea clutter components, respectively. By using the inverse transform of the cross Wigner-Ville representation, we decompose the echoes from successive range cells. Then a signature, revealing the cross time-frequency concentration, is used to find the signal component in the decomposed signal components. The proposed method is evaluated by the X-band sea echoes with a simulated target or a real target. Results demonstrate that the proposed method not only detects the weak target in high accuracy, but also provides its instantaneous state.

     

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