CFAR for Passive Radar Based on Dynamic Ordered Matrix

Yunhua RAO; Jiankang ZHOU; Xianrong WAN; Ziping GONG; Hengyu KE

doi:10.11999/JEIT191024

Volume 43 Issue 4

Apr. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(4): 1154-1161

Yunhua RAO, Jiankang ZHOU, Xianrong WAN, Ziping GONG, Hengyu KE. CFAR for Passive Radar Based on Dynamic Ordered Matrix[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1154-1161. doi: 10.11999/JEIT191024

Citation:

Yunhua RAO, Jiankang ZHOU, Xianrong WAN, Ziping GONG, Hengyu KE. CFAR for Passive Radar Based on Dynamic Ordered Matrix[J]. Journal of Electronics & Information Technology, 2021, 43(4): 1154-1161. doi: 10.11999/JEIT191024

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CFAR for Passive Radar Based on Dynamic Ordered Matrix

doi: 10.11999/JEIT191024

Yunhua RAO^{1, 2
,
,},
Jiankang ZHOU¹,
Xianrong WAN^{1, 2},
Ziping GONG^{1, 2},
Hengyu KE^{1, 2}

1.
School of Electronic Information, Wuhan University, Wuhan 430072, China
2.
Shenzhen Research Institute, Wuhan University, Shenzhen 518063, China

Funds: The National Natural Science Foundation of China (U1933135,61271400), The National Key Research and Development Project (2016YFB0502403), The Hubei Province Technology Innovation Special Major Project (2016AAA017), The Shenzhen Science and Technology Project (JCYJ20170818112037398)

Received Date: 2019-12-23
Rev Recd Date: 2020-10-20

Available Online: 2020-12-08

Publish Date: 2021-04-20

Abstract

Abstract

Passive radar uses third party radiation source, which is uncontrollable. Due to the complicated electromagnetic propagation conditions, especially in a low altitude target detection, the detection performance of the radar is greatly affected by clutters, leading to significant degradation of the performance of traditional constant false alarm algorithm. In order to improve the detection performance, a Dynamic Ordered Matrix Constant False Alarm Rate (DOM-CFAR) algorithm based on radar clutter space partition is proposed. In this algorithm, an ordered matrix is constructed after dividing the clutter space from distance and Doppler dimension. Then the dynamic extreme value is replaced according to the background clutter change and the estimated median value of clutter is extracted so as to calculate the detection threshold. This algorithm makes the threshold value of detection can dynamically adapt to the clutter power change. The simulation and measurement results show that the algorithm can maintain excellent detection performance under the complex environment with uniform clutter, multi-target and clutter edge.
- Target detection,
- Clutter matrix,
- Clutter map,
- Constant False Alarm Rate (CFAR)

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References(21)

References

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