软件无线电试验台多点联合处理距离测量的实验验证

G. Mashkov, E. Borisov, G. Fokin
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引用次数: 13

摘要

本文提出了一种基于试验结果积累的多点联合处理距离测量数据的算法,并从距离均方误差的角度对其精度进行了分析评价,最后通过实验对算法进行了验证。分析评价的方法是矩阵分析和非线性最小二乘估计理论。实验验证的方法是一个软件定义无线电(SDR)收发器,工作在美国国家仪器公司(NI)通用软件无线电外设(USRP)硬件上,使用LabVIEW软件,执行信号的发送、接收和处理。该方案在静态场景下进行了验证,根据距离测量试验次数的不同,得到了数米的位置误差。由于收发站的网络组织和测量处理单元的同步不确定度对测量结果的误差有很大影响。然而,在结论中我们可以指出,距离测量与试验结果积累的联合处理可以显着提高定位精度,并通过软件定义无线电试验台进行了实验验证。
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Experimental validation of multipoint joint processing of range measurements via software-defined radio testbed
In this paper we present an algorithm for multipoint joint processing of range measurements with trial results accumulation, evaluate its accuracy analytically in terms of range mean square error and finally validate it through an experiment. The methods used for analytical evaluation is matrix analysis and nonlinear least squares estimation theory. The approach for experimental validation is a software-defined radio (SDR) transceiver working on National Instruments (NI) Universal Software Radio Peripheral (USRP) hardware with LabVIEW software, performing transmission, reception and processing of signals. Presented solution was validated in static scenario and achieved position errors of several meters depending on the number of range measurement trials. The resulting error was substantially affected by synchronization uncertainty due to network organization of transceiver stations and measurement processing unit. However, in the conclusion we can state that joint processing of range measurements with trial results accumulation can substantially improve positioning accuracy and it was experimentally validated with software-defined radio testbed.
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