摘要
为克服非视距传播带来的定位误差,提出了非视距误差的窗函数补偿法．通过测量p个采样点的均方根延迟计算平均超量延迟,实现窗长为p的非视距误差的窗函数补偿法．相对最优化方法,该算法的计算量明显减少;相对单点补偿法,该算法的精度明显提高．对移动台处于3种不同位置的情况进行了仿真分析,结果表明,该算法具有较高的定位精度．
In order to mitigate location error caused mainly by non-line-of-sight propagation, a new algorithm called window function compensation, is proposed. By measuring the delay spread of p values, the mean excess delay can be obtained. Window function, whose length is p, is adopted to calibrate NLOS errors. Compared with Wang xin＇s optimal method, the complexity of the new algorithm is greatly reduced. Compared with Jeong＇s method, which calibrate single value, the location accuracy is greatly improved. The computer simulations are done when mobile is in three different positions. The results show high accuracy.
出处
《北京工业大学学报》
CAS
CSCD
北大核心
2007年第3期257-260,共4页
Journal of Beijing University of Technology
关键词
非视距传播
平均超量延时
到达时间
窗函数补偿
non-line-of-sight（NLOS）
mean excess delay
Time of arrival（TOA）
window function
