Clustering Method to Discriminate Active False Targets in Multistatic Radar System

Ziwei LIU; Shanshan ZHAO; Biao YANG; Minju YI

doi:10.11999/JEIT210147

Volume 43 Issue 11

Nov. 2021

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Ziwei LIU, Shanshan ZHAO, Biao YANG, Minju YI. Clustering Method to Discriminate Active False Targets in Multistatic Radar System[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3211-3219. doi: 10.11999/JEIT210147

Citation:

Ziwei LIU, Shanshan ZHAO, Biao YANG, Minju YI. Clustering Method to Discriminate Active False Targets in Multistatic Radar System[J]. Journal of Electronics & Information Technology, 2021, 43(11): 3211-3219. doi: 10.11999/JEIT210147

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Clustering Method to Discriminate Active False Targets in Multistatic Radar System

doi: 10.11999/JEIT210147

1.
College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210042, China
2.
College of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Funds: The National Natural Science Foundation of China (61801233, 61801445), The Natural Science Foundation of Jiangsu Province (BK20170911), The Aeronautical Science Foundation of China (202000200X9001, 202000200X9002)

Received Date: 2021-02-18
Rev Recd Date: 2021-09-10

Available Online: 2021-09-30

Publish Date: 2021-11-23

Abstract

Abstract

The available deception anti-jamming methods in multistatic radar can not be applied to multiple jamming sources. In view of this problem, a clustering analysis-based method is proposed to discriminate active false targets in multistatic radar, according to the differences in the correlation between the received signal vectors of true and false targets. Measured by the correlation coefficient in clustering analysis method, the false targets generated by the same jamming source are grouped into one cluster, while each true target constitutes one singleton cluster, achieving the effective discrimination of active false targets. The proposed method can be used to discriminate active false targets generated by any deception modulation mode and is suitable for the application of distributed jamming with multiple jamming sources. Finally, the effectiveness of the clustering analysis method to discriminate active false targets is verified through simulation experiments.
- Radar electronic counter-countermeasures,
- Multistatic radar,
- Deception jamming,
- Discrimination of active false targets,
- Clustering analysis

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References(16)

References

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