Adaptive anti-jamming scheme based on meta-surface antenna

GUO Yuze; JIN Liang; XU Xiaoming; MA Keming; PEI Chen

doi:10.11959/j.issn.1000-0801.2024185

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Adaptive anti-jamming scheme based on meta-surface antenna

Topic：Reconfigurable Intelligent Surface for 6G Network | 更新时间：2024-08-14

- Adaptive anti-jamming scheme based on meta-surface antenna
- Telecommunications Science Vol. 40, Issue 7, Pages: 51-62(2024)
- 作者机构：
  
  中国人民解放军战略支援部队信息工程大学，河南郑州 450001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(U22A2001);Program of Songshan Laboratory(221100211300-01)
- DOI：10.11959/j.issn.1000-0801.2024185
  CLC： TP928
- Received：09 June 2024，
  
  Revised：2024-07-12，
  
  Published：20 July 2024
- 稿件说明：
移动端阅览
郭予泽,金梁,许晓明等.基于超表面天线的自适应抗干扰方案[J].电信科学,2024,40(07):51-62.

GUO Yuze,JIN Liang,XU Xiaoming,et al.Adaptive anti-jamming scheme based on meta-surface antenna[J].Telecommunications Science,2024,40(07):51-62.
郭予泽,金梁,许晓明等.基于超表面天线的自适应抗干扰方案[J].电信科学,2024,40(07):51-62. DOI： 10.11959/j.issn.1000-0801.2024185.

GUO Yuze,JIN Liang,XU Xiaoming,et al.Adaptive anti-jamming scheme based on meta-surface antenna[J].Telecommunications Science,2024,40(07):51-62. DOI： 10.11959/j.issn.1000-0801.2024185.

摘要

针对传统抗干扰方案无法根据不同类型干扰形式选择合适抗干扰策略的问题，提出了一种基于超表面天线的自适应抗干扰方案，根据期望信号和干扰信号的入射方向判断干扰的类型并制订针对性抗干扰方案。首先，设计了一种改进的稀疏度自适应匹配追踪（sparsity adaptive matching pursuit，SAMP）算法进行波达方向（direction of arrival，DOA）估计，可以利用超表面天线的多维观测能力在少快拍采样下实现高精度相干信号源的信源数与DOA联合估计。其次，利用信号的DOA信息判断主瓣干扰和旁瓣干扰的存在性并选择对应的抗干扰策略。当存在主瓣干扰时，利用超表面天线的多维观测能力将改进阻塞矩阵预处理结构配置在天线上实现主瓣干扰抑制。当存在旁瓣干扰时，采用一种二次不等式线性功率最小化算法实现抗干扰。当两种干扰形式同时存在时，采用阻塞矩阵和波束成形联合抵抗干扰。仿真结果表明，所提方案针对不同干扰类型均有较好的信干噪比（signal interference noise ratio，SINR）提升，当主瓣干扰和旁瓣干扰同时存在时，相较于传统方案最高可具有6 dB的增益提升。

Abstract

Aiming at the problem that traditional anti-jamming schemes cannot choose suitable anti-jamming strategies according to different types of jamming forms

an adaptive anti-jamming scheme based on meta-surface antenna was proposed. According to the incident direction of the expected signal and the jamming signal

the type of jamming was determined and the targeted anti-jamming scheme was formulated. Firstly

an improved sparsity adaptive matching pursuit (SAMP) algorithm was designed to estimate the direction of arrival (DOA). The multi-dimensional observation capability of meta-surface antenna could be used to estimate the source number and DOA of coherent signal sources with high precision under little snapshot sampling. Secondly

the DOA information of the signal was used to judge the existence of main-lobe interference and sidelobe interference

while the corresponding anti-jamming strategy was selected. When the main-lobe jamming existing

the multi-dimensional observation capability of the meta-surface antenna was used to configure the improved blocking matrix preprocessing structure on the antenna to achieve the main-lobe jamming suppression. When side-lobe jamming existing

a quadratic inequality linear power minimization algorithm was used to realize anti jamming. When two jamming forms exist at the same time

blocking matrix and beamforming were used to resist jamming. The simulation results show that the proposed scheme has better signal interference noise ratio (SINR) improvement for different jamming types. When both main-lobe and side-lobe jamming exist

the gain can be improved by up to 6 dB compared with the traditional scheme.

关键词

Keywords

references

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