Effects of antenna polarization on RSSI based location identification
Effects of antenna polarization on RSSI based location identification
复制标题
天线极化对基于RSSI的位置识别的影响
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Sharma
中科院分区：
文献类型：
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作者：
Mark Barralet;Xu Huang;D. Sharma
室内环境中移动物体的实时位置定位是一种令人鼓舞的技术，用于实现在各种细分市场中创建许多新颖的位置感知服务和应用的愿景。提高这些定位跟踪系统的准确性将增加其实用性。研究了一种基于无线信号强度指示（RSSI）的定位跟踪技术的开发平台。在本文中，我们研究了偏振对室内定位跟踪系统精度的影响。位置计算的精度主要取决于距离测量的精度。我们提出了一种方法，以提高系统的准确性，根据这项调查。我们建立了一个从RSSI确定距离的模型，并表明该模型符合我们自己的实验数据。该模型包括用于考虑环境影响的参数，我们使用最小二乘法确定参数值。天线极化角将影响RSSI，从而影响距离精度。我们的经验表明，该模型仍然是有效的偏振失配，但不同的环境参数值。然后，我们分析了这些参数和偏振对我们的定位系统的影响。提出了一种基于半自动试错法的环境参数选择方法。使用实验数据，我们表明，如果我们调整模型参数，以占偏振角，那么我们可以提高定位精度。当偏振角已知时，调整偏振的参数对于实现是相当微不足道的。用于确定偏振角的实际解决方案是使用加速度计。加速度计的添加也可以用于增加节点的电池寿命。
Real-time position localization of moving objects in an indoor environment is an encouraging technology for realizing the vision of creating numerous novel location-aware services and applications in various market segments. Increasing the accuracy of these location tracking systems will increase their usefulness. An off the shelf development platform that uses Radio Signal Strength Indication (RSSI) based location tracking technique is studied. In this paper we investigate the affects of polarization on the accuracy of an indoor location tracking system. The accuracy of the location calculation is mainly dependent on accuracy of the range measurements. We present an approach to increase system accuracy based on this investigation. We established a model for determining range from RSSI and showed that the model fits our own experimental data. The model includes parameters used to account of environmental effects and we use the least squares method of determining the parameter values. Antenna polarization angle will affect RSSI and thus range accuracy. We empirically show that the model is still valid for polarization mismatch but with different environmental parameter values. We then analyze the affects that these parameters and polarization have on our location system. A method based on semi-automated trail and error is proposed as a better method for selecting the environmental parameters. Using experimental data we show that if we adjust the model parameters to account for polarization angle then we can increase location accuracy. Adjusting parameters for polarization is fairly trivial to implement when the polarization angle is known. A practical solution for determining the polarization angle is with an accelerometer. The addition of an accelerometer could also be used to increase the battery life of the node.