摘要
无线网络影响因素较多,总是无法避免地产生定位误差,为取得更好的可靠性与精准度,针对智能化区域无线网络,提出一种移动台动态定位算法.构建基于到达时延差的约束加权最小二乘算法,获取到达时延差信息,根据移动台对应服务基站获取的移动台到达时延差与到达角度数据,利用约束加权最小二乘算法多次更新定位估计,结合小波变换,架构到达时延差/到达角度混合定位算法,依据智能化区域无线网络环境的到达时延差数据采集情况,将估算出的移动台大致位置设定为不同种类定位结果,通过多次估算实现移动台动态定位.选取不同无线网络环境展开移动台动态定位仿真,分别从到达时延测量偏差、区域半径以及移动台与其服务基站间距等角度验证算法定位效果,由实验结果可知,所提算法具有理想的干扰因素抑制能力,且定位精准度较高.
There are many influencing factors in wireless networks,and positioning errors are always unavoidable.In order to achieve better reliability and accuracy,a dynamic positioning algorithm for mobile stations is proposed for intelligent regional wireless networks.Construct a constrained weighted least squares algorithm based on the arrival delay difference,obtain the arrival delay difference information,and use the constraint weighted least squares algorithm to update multiple times according to the mobile station′s arrival delay difference and the angle of arrival data obtained by the mobile station corresponding to the serving base station Positioning estimation,combined with wavelet transform,architecture of arrival delay difference/arrival angle hybrid positioning algorithm,according to the data collection situation of arrival delay difference of intelligent regional wireless network environment,set the estimated mobile station′s approximate position to different types of positioning results,Realize the dynamic positioning of the mobile station through multiple estimates.Select different wireless network environments to carry out the dynamic positioning simulation of mobile stations,and verify the positioning effect of the algorithm from the angles of arrival delay measurement deviation,area radius,and distance between the mobile station and its serving base station.The experimental results show that the proposed algorithm has ideal interference suppression Ability,and high positioning accuracy.
作者
赵盛烨
吴文江
ZHAO Sheng-ye;WU Wen-jiang(Shenyang Institute of Computing Technology,Chinese Academy of Sciences,Shenyang 110168,China;University of Chinese Academy of Sciences,Beijing 100049,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2022年第6期1221-1225,共5页
Journal of Chinese Computer Systems
