摘要
针对网络优化和干扰实施中电磁辐射预测准确率不高的问题,利用多制式移动通信干扰器对室内的复杂场景进行了干扰防护的信号强度预测;对实际场景建立几何模型后采用时域有限差分算法获得信号强度预测值,并结合实际测量改进非参数核回归预测算法获得统计分析预测值;最后提出混合加权预测模型,对电磁辐射进行定量预测分析。预测结果表明,提出的基于时域有限差分算法和非参数核回归算法的混合加权预测模型能对复杂室内场景下信号强度进行预测,准确率较高。
Aiming at the low correct rate of the electromagnetic radiation prediction for the network optimization and the imple- mentation of interference, this paper measured the signal strength of the mobile communication jammer in complex indoor envi- ronment. On the one hand, it established the geometric model depended on the real scene and calculated the signal strength by the finite-difference time-domain method. On the other hand, it used the nonparametric kernel regression method to analyze the actual value which was measured by the professional instruments. And then it made a quantitative analysis by the use of the hybrid weighted model. The results indicate that the model which is combined with the finite-difference time-domain method and the nonparametric kernel regression method can predict the signal strength more accurate in the complex indoor scenes.
出处
《计算机应用研究》
CSCD
北大核心
2017年第4期1213-1216,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61261017)
广西自然科学基金资助项目(2013GXNSFBB053005)
广西科学研究与技术开发计划资助项目(14124004-4-10)
北京邮电大学泛网无线通信教育部重点实验室资助项目(KFKT-2014102)
关键词
电磁辐射
时域有限差分
非参数核回归
信号强度
electromagnetic radiation
finite-difference time-domain
nonparametric kernel regression
signal strength
