协同压制雷达系统的稳健资源分配方法
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电子科技大学信息与通信工程学院 成都 611731

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TN972

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Robust jamming resource allocation for cooperatively suppressing multi-station radar systems
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School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

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    摘要:

    针对多站雷达系统部分参数只能通过参数估计获得,受限于参数估计的精度而造成的协同干扰性能下降的问题,提出了一种多干扰机联合干扰波束和发射功率的稳健资源分配方法。首先,采用多个目标在干扰环境中PCRLB的总和作为干扰性能的指标;然后,基于干扰信号模型、压制干扰环境下的雷达回波信号模型以及干扰支援编队的几何位置,将雷达系统参数估计的不确定性所导致的泛化误差与干扰波束和发射功率相结合,建立带有干扰资源约束条件的稳健资源分配方法;最后,考虑到资源参数的耦合性,采用基于遗传算法的两步分解方法对其进行求解。仿真结果表明,本文提出的稳健资源分配方法能有效降低雷达系统对多目标的跟踪性能,提高了多干扰机对雷达系统的协同干扰能力。

    Abstract:

    A robust resource scheduling method of the multi-jammer joint jamming beam and transmitting power is proposed for the problem that some parameters of multi-station radar systems can only be obtained through parameter estimation, and the performance of cooperative jamming is degraded due to the accuracy of parameter estimation. First, the sum of the PCRLB of multiple targets in jamming environment is used to evaluate jamming performance. Then, based on the jamming signal model, radar echo signal model in the suppressive jamming environment, and the geometry of jamming support formation position, the generalization error caused by the uncertainty of radar system parameter estimation is combined with the jamming beam and transmit power to establish a robust resource scheduling method with jamming resource constraints. Finally, due to the coupling of resource parameters, a two-step decomposition solution based on genetic algorithm is used to solve it. The simulation results show that the proposed robust resource scheduling strategy can effectively reduce the performance of multi-target tracking in radar systems and enhance the cooperative jamming performance of multi-jammers to the radar systems.

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厉俊,张睿智,沈晓峰.协同压制雷达系统的稳健资源分配方法[J].电子测量技术,2023,46(13):52-58

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  • 在线发布日期: 2024-01-22
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