Antenna Pattern Optimization for a RSSI-based Direction of Arrival Localization System
Antenna Pattern Optimization for a RSSI-based Direction of Arrival Localization System
复制标题
基于 RSSI 的到达方向定位系统的天线方向图优化
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
J. Thielecke
中科院分区：
文献类型：
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作者：
M. Hartmann;Oliver Pfadenhauer;L. Patiño;Hans;A. Heuberger;J. Thielecke
在野生动物研究领域，一个热门话题是使用无线传感器网络来跟踪动物以研究它们的社会行为[1]。根据跟踪的物种，安装在动物身上的发射器对重量、成本或能耗有极高的要求。对于低成本定位系统，可以使用接收到的信号强度来估计距离。此外，使用多个定向天线，可以进行到达方向估计。使用多个接收器的传感器数据融合可以跟踪动物。本文展示了此类传感器网络中基于接收信号强度的到达方向估计天线方向图的优化。为此，定义了质量参数，并将 Cramer Rao 下限等理论极限与模拟结果进行了比较。结果表明，所提出的质量参数允许天线方向图优化。优化后的天线方向图在轨迹模拟中显示出较低的定位误差。这些结果是开发基于接收信号强度的低成本定位系统来跟踪蝙蝠飞行轨迹的关键推动因素。
In the area of wildlife research a gaining topic is the use of wireless sensor networks to track animals for studying their social behavior [1]. Depending on the tracked species, there are extreme requirements on weight, costs or energy consumption for the transmitter mounted on the animal. For a low cost localization system the received signal strength can be used to estimate the distance. In addition, using multiple directional antennas, a direction of arrival estimation is possible. Using sensor data fusion of multiple receivers a tracking of the animal is possible. In this paper the optimization of an antenna pattern for the direction of arrival estimation based on the received signal strength in such sensor networks is shown. For this purpose, quality parameters are defined and theoretical limits such as the Cramer Rao Lower bound are compared to the simulation results. It is shown that the proposed quality parameters allow an antenna pattern optimization. The optimized antenna patterns show lower localization errors in the trajectory simulation. These results are key enablers for developing a low cost received signal strength based localization system for tracking the flying trajectory of bats.