摘要
随着无线网络技术的广泛应用,利用WiFi信号进行位置监测和环境感知已成为当前科研领域的热点研究方向。在室内定位中,静态路径角度的准确估计是辅助运动目标角度估计的关键环节。然而,传统算法通常需要单独采集静态环境数据(即无动态目标的环境),这不仅增加了数据采集的复杂性,还造成了大量人力、物力资源的浪费。针对这一问题,提出了一种基于信道状态信息(CSI)的静态路径角度估计算法。该算法能够直接从动态环境中分离出动态路径和静态路径的角度信息,无需依赖专门的静态环境数据采集。具体而言,算法首先采用线性拟合方法对提取的CSI信号进行相位校准,随后通过角度和飞行时间联合估计算法,分别计算动态路径和静态路径的角度。实验基于Widar2.0系统的3个环境数据集进行验证,结果表明,所提算法估计的静态路径角度误差小于3°,同时避免了传统方法中繁琐的静态环境数据采集过程。
With the wide application of wireless network technology,the utilization of WiFi signals for location monitoring and environment sensing has become a hot research direction in the current scientific research field.In indoor localization,the accurate estimation of static path angle is a key link to assist the angle estimation of moving targets.However,traditional algorithms usually need to collect static environment data(i.e.,environment without moving targets)separately,which not only increases the complexity of data collection,but also causes a large amount of waste of human and material resources.To address this problem,this paper proposes a static path angle estimation algorithm based on Channel State Information(CSI).The algorithm is able to separate the angle information of dynamic paths and static paths directly from the dynamic environment without relying on specialized static environment data acquisition.Specifically,the algorithm first uses a linear fitting method to phase calibrate the extracted CSI signals,and then calculates the angles of the dynamic and static paths,respectively,by means of a joint angle and time-of-flight estimation algorithm.The experiments are validated based on three environmental datasets from the Widar2.0 system,and the results show that the static path angle estimated by the proposed algorithm has an error of less than 3°,while avoiding the cumbersome process of static environmental data acquisition in the traditional method.
作者
田利平
李维弦
TIAN Liping;LI Weixian(Fujian Chuanzheng Communications College,Fuzhou,Fujian 350007,China)
出处
《自动化应用》
2025年第18期242-244,共3页
Automation Application
