摘要
针对无线传输回收侵彻数据方法中如何使电磁波能够在有损的深埋环境中传播理想的距离的问题,对深埋环境下电磁波传播特性进行了数值分析。以均匀平面波在有损媒介中传播为模型,分析了不同频率的电磁波在有损媒介中的衰减情况,环境电导率对电磁波传播衰减的影响和电、磁场分量在深埋环境下的传播特性曲线。分析结果表明,当辐射电磁波频率为2.4 GHz时,最低接收电平所对应的传播距离约为1.35 m;当辐射电磁波频率为0.433 GHz时,最低接收电平所对应的传播距离约为1.68 m;在辐射0.433 GHz电磁波,环境电导率为0.1 S/m时,可接收到的最大传播距离约为0.75 m;当电导率为0.001 S/m时,可接收到的最大传播距离超过4 m。最后提出了提高发射模块输出功率、辐射相对较低频率的电磁波、设计合适弹载天线、无线传输与有线传输相结合4项优化方案以增加传播距离。
Aiming at how to make the electromagnetic wave propagate for a ideal distance in the damaged deep-buried environment when using the method of wireless transmission and recovery of penetration data,the propagation characteristics of electromagnetic wave in deep-buried environment was numerically analyzed.Based on the model of uniform plane wave propagation in the lossy medium,the attenuation of electromagnetic wave with different frequencies in the lossy medium and the influence of environmental conductivity on the attenuation of electromagnetic wave propagating was analyzed.The propagation characteristic curves of electric and magnetic field components were plotted.The results showed that when the frequency was 2.4 GHz,the propagating distance corresponding to the lowest receiving level was about 1.35 m,and when the frequency was 0.433 GHz,the propagating distance was about 1.68 m.When radiating 0.433 GHz electromagnetic wave and environmental conductivity was 0.1 s/m,the maximum transmission distance was about 0.75 m,and when the conductivity was 0.001 s/m,the distance was more than 4 m.Finally,four optimization methods were proposed to increase the transmission distance,including improving the output power of the transmitting module,radiating relatively low frequency electromagnetic waves,designing appropriate missile-borne antenna,and combining wireless transmission with wired transmission.
作者
何博
李世中
张亚
余成
HE Bo;LI Shizhong;ZHANG Ya;YU Cheng(School of Mechatronics Engineering,North University of China,Taiyuan 030051,China)
出处
《探测与控制学报》
CSCD
北大核心
2020年第2期56-60,共5页
Journal of Detection & Control
关键词
深埋环境
侵彻数据
电磁波
无线回收
数值分析
deep-buried environment
penetration data
electromagnetic wave
wireless recovery
numerical analysis