Target Detecting Algorithm Based on Subband Matrix for Slow Target in Sea Clutter

Yanling SHI; Junhao LI

doi:10.11999/JEIT200402

Volume 43 Issue 9

Sep. 2021

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Yanling SHI, Junhao LI. Target Detecting Algorithm Based on Subband Matrix for Slow Target in Sea Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2703-2710. doi: 10.11999/JEIT200402

Citation:

Yanling SHI, Junhao LI. Target Detecting Algorithm Based on Subband Matrix for Slow Target in Sea Clutter[J]. Journal of Electronics & Information Technology, 2021, 43(9): 2703-2710. doi: 10.11999/JEIT200402

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Target Detecting Algorithm Based on Subband Matrix for Slow Target in Sea Clutter

doi: 10.11999/JEIT200402

Yanling SHI^,,
Junhao LI

School of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Funds: The National Natural Science Foundation of China (61201325), The National Incubation Fund of Nanjing University of Posts and Telecommunications (NY218045), The Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX19_0249)

Received Date: 2020-05-22
Rev Recd Date: 2020-12-22

Available Online: 2021-02-25

Publish Date: 2021-09-16

Abstract

Abstract

The matrix Constant False Alarm Rate (CFAR) detector based on the information geometry theory is an effective method for target detection in the K-distributed sea clutter environment. However, the general matrix CFAR method has a high computational complexity and its detection performance is not as good as Adaptive Normalized Matched Filter (ANMF) when the target Doppler frequency deviates from the clutter spectrum center seriously, which affects its practical application. For this reason, considered the filtered received signal by the filter bank, a Matrix CFAR Detection method based on the Filter bank subband Decomposition of Maximum Eigenvalue (FD-MEMD) is proposed. The double clutter suppression helps to solve the problem that Matrix CFAR is invalid when the target Doppler frequency is far away the central of the clutter spectrum. Finally, the simulation results show that the improved FD-MEMD has a good detection performance.
- Slow target detection in sea clutter,
- Information geometry,
- Filter bank,
- Matrix constant false alarm detection

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References(21)

References

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