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基于功率最小化的自适应多目标干扰波形设计

An Adaptive Multi-Target Jamming Waveform Design Based on Power Minimization.

作者信息

Gao Jing, Wu Rihan, Zhang Jinde

机构信息

School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.

School of Computer Science and Engineering, Northeastern University, Shenyang 110819, China.

出版信息

Entropy (Basel). 2020 Apr 29;22(5):508. doi: 10.3390/e22050508.

Abstract

With increasing complexity of electronic warfare environments, smart jammers are beginning to play an important role. This study investigates a method of power minimization-based jamming waveform design in the presence of multiple targets, in which the performance of a radar system can be degraded according to the jammers' different tasks. By establishing an optimization model, the power consumption of the designed jamming spectrum is minimized. The jamming spectrum with power control is constrained by a specified signal-to-interference-plus-noise ratio (SINR) or mutual information (MI) requirement. Considering that precise characterizations of the radar-transmitted spectrum are rare in practice, a single-robust jamming waveform design method is proposed. Furthermore, recognizing that the ground jammer is not integrated with the target, a double-robust jamming waveform design method is studied. Simulation results show that power minimization-based single-robust jamming spectra can maximize the power-saving performance of smart jammers in the local worst-case scenario. Moreover, double-robust jamming spectra can minimize the power consumption in the global worst-case scenario and provide useful guidance for the waveform design of ground jammers.

摘要

随着电子战环境日益复杂,智能干扰器开始发挥重要作用。本研究探讨了一种在存在多个目标的情况下基于功率最小化的干扰波形设计方法,其中雷达系统的性能会根据干扰器的不同任务而降低。通过建立优化模型,使设计的干扰频谱功耗最小化。具有功率控制的干扰频谱受到指定的信干噪比(SINR)或互信息(MI)要求的约束。考虑到在实际中对雷达发射频谱的精确表征很少见,提出了一种单稳健干扰波形设计方法。此外,认识到地面干扰器与目标不集成,研究了一种双稳健干扰波形设计方法。仿真结果表明,基于功率最小化的单稳健干扰频谱可以在局部最坏情况下最大化智能干扰器的节能性能。此外,双稳健干扰频谱可以在全局最坏情况下最小化功耗,并为地面干扰器的波形设计提供有用指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79ee/7516999/cb7aed0a3529/entropy-22-00508-g001.jpg

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