1.电子科技大学通信抗干扰全国重点实验室,四川成都 611731
2.电磁空间认知与智能控制技术实验室,北京 100191
[ "郭文博 男,1994年出生于四川省成都市.2021年获得电子科技大学信息与通信系统博士学位,现为电子科技大学通信抗干扰全国重点实验室副教授.主要研究方向为干扰消除、物理层安全、全双工通信和分布式信号处理.E-mail: wbguo@uestc.edu.cn" ]
[ "金明悦 女,2002年出生于吉林省白城市.现为电子科技大学通信抗干扰全国重点实验室硕士研究生.主要研究方向为干扰抑制和数字信号处理.E-mail: myjin@std.uestc.edu.cn" ]
[ "严牧 男,1991年出生于重庆市.现为电磁空间认知与智能控制技术实验室助理研究员.主要研究方向为电磁空间认知、群体频谱智能.E-mail: 826103068@qq.com" ]
[ "赵宏志 男,1978年出生于河北省石家庄市.现为电子科技大学通信抗干扰全国重点实验室教授,博士生导师.主要研究方向为抗干扰技术、全双工通信以及无线通信中的信号处理.E-mail: lyn@uestc.edu.cn" ]
[ "邵士海 男,1980年出生于辽宁省抚顺市.现为电子科技大学通信抗干扰全国重点实验室教授,博士生导师.主要研究方向为无线通信、扩频技术及多输入多输出检测.E-mail: ssh@uestc.edu.cn" ]
收稿:2024-06-26,
修回:2025-07-02,
纸质出版:2025-07-25
移动端阅览
郭文博, 金明悦, 严牧, 等. 区域共生分布式同频干扰抑制技术研究[J]. 电子学报, 2025, 53(07): 2532-2538.
GUO Wen-bo, JIN Ming-yue, YAN Mu, et al. Research on Regional Symbiotic Distributed Co-Frequency Jamming Cancellation Technique[J]. Acta Electronica Sinica, 2025, 53(07): 2532-2538.
郭文博, 金明悦, 严牧, 等. 区域共生分布式同频干扰抑制技术研究[J]. 电子学报, 2025, 53(07): 2532-2538. DOI:10.12263/DZXB.20240597
GUO Wen-bo, JIN Ming-yue, YAN Mu, et al. Research on Regional Symbiotic Distributed Co-Frequency Jamming Cancellation Technique[J]. Acta Electronica Sinica, 2025, 53(07): 2532-2538. DOI:10.12263/DZXB.20240597
在分布式电磁攻防对抗场景中,我方设备对敌释放干扰的同时,也极可能对己方电磁设备造成误伤,为此提出一种分布式同频干扰抑制架构与方法.通过对分布式同频干扰节点与授权接收节点之间时延误差与残余频偏进行建模,利用递归最小二乘算法求解模型系数,有效匹配高维信道和时频变化,并利用干扰参考信号完成分布式干扰重建与抑制.仿真结果表明,在归一化时延误差为0.2,归一化残余频偏为10
-4
时,本文所提出的分布式同频干扰抑制方法的干扰抑制能力相较于单节点同频干扰抑制方法提升13.1 dB,且残余干扰接近于底噪.
In distributed electromagnetic countermeasure scenarios
our jamming transmissions directed against adversarial targets may in
advertently interfere with our own co-frequency electromagnetic systems. To address this issue
a distributed co-frequency jamming cancellation architecture and method are proposed. The method models the time-delay errors and residual frequency offsets between the distributed jamming nodes and the authorized receiving nodes
and solves for the model coefficients using the recursive least squares algorithm. This approach effectively accounts for high-dimensional channel and time-frequency variations. The reference jamming signal is then used for the reconstruction and cancellation of the distributed jamming. Simulation results demonstrate that under normalized timing errors of 0.2 and normalized residual frequency offsets of 10
-4
the proposed distributed co-frequency jamming cancellation method achieves a 13.1 dB improvement in jamming cancellation capability over the single-node approach
with residual jamming approaching the noise floor.
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