摘要
针对复杂场景下的移动通信信号的干扰评估问题,为提高准确性,通过对非参数核回归预测模型的预处理过程和预测权重的改进,对窗宽和核函数参数的优化,提出非参数核回归的信号强度预测改进算法。并结合频谱仪、工程移动通信设备等专业测量仪器实测获得的数据及实际干扰效果,对CDMA制式下的信号干扰评估提出评价指标干信比及干扰防护分级标准。评估结果表明,提出的核回归的预测算法对预测的信号干扰评估准确性较高。
Aiming at the problem of assessment of jamming on the mobile communication signal for complex scenario,this paper improves the process of preprocessing and the prediction weight. It also optimizes the window width and the parameters of kernel function of the nonparametric kernel regression prediction model. Then it puts forward the prediction algorithm of signal strength based on nonparametric kernel regression. The paper also proposes the classification criteria and the evaluation index of Jam-to-Signal Ratio（ JSR） about signal jamming evaluation in CDMA systems by combing the data with professional measuring instrument measured by frequency spectrograph and project of mobile communication equipment and the actual effect of interference. The evaluation result shows that,the prediction algorithm and the way of calculating the Jam-to-Signal Ratio and matching to the classification standard proposed by the paper for jamming evaluation have high accuracy.
出处
《计算机仿真》
CSCD
北大核心
2016年第8期189-192,237,共5页
Computer Simulation
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)
"认知无线电与信息处理"教育部重点实验室2015年主任基金资助项目(CRKL150111)
关键词
移动通信信号
核回归
信号强度
干扰评估
Mobile communication signal
Kernel regression
Signal strength
Jamming evaluation
