Optimal Joint Allocation of Multijammer Resources for Jamming Netted Radar System

ZHANG Dalin; YI Wei; KONG Lingjiang

doi:10.12000/JR21071

Volume 10 Issue 4

Aug. 2021

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Article Navigation > Journal of Radars > 2021 > 10(4): 595-606

ZHANG Dalin, YI Wei, and KONG Lingjiang. Optimal joint allocation of multijammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10(4): 595–606. doi: 10.12000/JR21071

Citation:

ZHANG Dalin, YI Wei, and KONG Lingjiang. Optimal joint allocation of multijammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10(4): 595–606. doi: 10.12000/JR21071

ZHANG Dalin, YI Wei, and KONG Lingjiang. Optimal joint allocation of multijammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10(4): 595–606. doi: 10.12000/JR21071

Citation:

ZHANG Dalin, YI Wei, and KONG Lingjiang. Optimal joint allocation of multijammer resources for jamming netted radar system[J]. Journal of Radars, 2021, 10(4): 595–606. doi: 10.12000/JR21071

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Optimal Joint Allocation of Multijammer Resources for Jamming Netted Radar System

DOI: 10.12000/JR21071

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Funds: The National Natural Science Foundation of China (61771110, U19B2017), The Chang Jiang Scholars Program (B17008)

More Information

Corresponding author: YI Wei, kussoyi@gmail.com
Received Date: 2021-06-01
Rev Recd Date: 2021-07-25

Available Online: 2021-08-10

Publish Date: 2021-08-28

Abstract

Abstract

An optimal joint allocation of multijammer resources is proposed for jamming a Netted Radar System (NRS) in the case of multitarget penetration. First, the multitarget detection probabilities of NRS in the suppressive jamming environment are used as an interference performance metric. Then, the resource optimization model is established, including two optimization variables, namely, jamming beam and transmitting power, considering the detection performance requirements of different targets. Particle swarm optimization is used to solve the resource-optimization problem. Finally, considering the generalization error of the detection probability caused by the parameter uncertainty of the NRS, the robust resource-optimization model is established. The simulation results show that the proposed optimization model is effective in suppressing the NRS and reducing the probability of the penetrating targets detected by the NRS. Compared with the traditional method, the robust algorithm improves the cooperative interference performance of multiple jammers against NRS and is robust.
- Netted Radar System (NRS),
- Cooperative suppressive jamming,
- Robust resource optimization,
- Detection probability,
- Particle Swarm Optimization (PSO)

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References

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