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首页> 外文期刊>Sensors Journal, IEEE >Estimating DoA From Radio Frequency RSSI Measurements Using Multi-Element Femtocell Configuration
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Estimating DoA From Radio Frequency RSSI Measurements Using Multi-Element Femtocell Configuration

机译:使用多元素毫微微小区配置从射频RSSI测量估计DoA

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摘要

In this paper, a method to estimate the direction of arrival (DoA) of a radio signal using a multi-element antenna based femtocell device is presented. The femtocell estimates the DoA by identifying the peak of received signal strength indicator (RSSI) measurement using multi-element microstrip antenna. This paper is a modified version of a previously reported work titled as estimation of DoA from radio frequency RSSI measurements using an actuator reflector. In long term evaluation, ultradense deployment of the femtocell device is mainly supported by the intelligent beam forming that translates directly to the constraint of DoA estimation. Use of multi-element antenna over omnidirectional antenna in femtocell is mandated by coverage optimization and reduction of cell overshooting. DoA estimation using microstrip antenna alone is a challenging problem, but it is easier with a multiple number of directive antennas covering the whole plane. Other DoA estimation methods, such as phase arrays, are unsuitable for a small device like femtocell due to the complexity and cost limitations. The proposed method to estimate the DoA is simple enough to be applicable for femtocell indoor applications. Both simulation and experimental results are analyzed to evaluate the performance of the method. Results show that the error in estimated DoA has a mean <7° and standard deviation <4°.
机译:本文提出了一种使用基于多元素天线的毫微微小区设备估计无线电信号到达方向(DoA)的方法。毫微微小区通过使用多元素微带天线识别接收信号强度指示器(RSSI)测量的峰值来估计DoA。本文是先前报道的工作的修改版本,该工作的标题是使用致动器反射器从射频RSSI测量中估算DoA。在长期评估中,毫微微小区设备的超密集部署主要由直接转化为DoA估计约束的智能波束形成支持。由于覆盖范围的优化和减少单元过冲的要求,在毫微微小区中的全向天线上使用多元素天线是必需的。仅使用微带天线进行DoA估计是一个具有挑战性的问题,但是使用覆盖整个平面的多个定向天线会更容易。由于复杂性和成本限制,其他DoA估计方法(如相位阵列)不适用于像飞蜂窝这样的小型设备。所提出的估计DoA的方法非常简单,足以适用于毫微微小区室内应用。分析了仿真结果和实验结果,以评估该方法的性能。结果表明,DoA估计误差的平均值小于7°,标准偏差小于4°。

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