A deception Jamming Discrimination Algorithm Based on Phase Fluctuation for aIrborne Distributed Radar System

LV Zhuoyu; YANG Chao; SUO Chengyu; WEN Cai

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LV Zhuoyu, YANG Chao, SUO Chengyu, WEN Cai. A deception Jamming Discrimination Algorithm Based on Phase Fluctuation for aIrborne Distributed Radar System[J]. Journal of Electronics & Information Technology.

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LV Zhuoyu, YANG Chao, SUO Chengyu, WEN Cai. A deception Jamming Discrimination Algorithm Based on Phase Fluctuation for aIrborne Distributed Radar System[J]. Journal of Electronics & Information Technology.

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A deception Jamming Discrimination Algorithm Based on Phase Fluctuation for aIrborne Distributed Radar System

cstr: 32379.14.JEIT240787

LV Zhuoyu^{1, 2},
YANG Chao¹,
SUO Chengyu¹,
WEN Cai^{1
,
,}

1.
School of Information Science and Technology, Northwest University, Xi’an 710127, China
2.
Northwest Institute of Mechanical & Electrical Engineering, Xianyang 712099, Shaanxi, China

Funds: Item1, Item2, Item3

Received Date: 2024-09-12
Accepted Date: 2025-11-04
Rev Recd Date: 2025-11-04

Available Online: 2025-11-13

Abstract

Abstract

Deception jamming not only prevents radars from distinguishing real targets from false ones but also significantly degrades the parameter estimation accuracy and tracking performance of real targets. To address the deception jamming identification issue in airborne distributed radar systems, this paper proposes a discrimination method based on phase fluctuation. The method first corrects synchronization errors affecting the echo signal phase in airborne distributed radar systems. Subsequently, refined processing is applied to the received multi-station echoes to extract multi-station target scattering phase vectors. Finally, leveraging differences in scattering characteristics between real and false targets, the fluctuation variance of phase vectors is utilized to discriminate between them. The proposed method enhances the anti-jamming performance of airborne distributed radar systems in complex electromagnetic environments, and simulation results validate its effectiveness.
- Deception jamming,
- Distributed radar,
- Synchronization error,
- Target discrimination

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References(22)

References

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