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ARPAP: A Novel Antenna-Radiation-Pattern-Aware Power-Based Positioning in RF System

机译:ARPAP:RF系统中的一种新型天线辐射模式感知功率的位置

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摘要

Traditional power-based localization methods suffer from low accuracy in the practical application environment. The main challenges are the antenna directivity and fading effect. Conventional methods assume omnidirectional antenna directivity such that the solution is the intersections of multiple circle-shape contours. This strong assumption results in significant localization error in practical non-isotropic antenna applications. In this article, a novel antenna radiation-pattern-aware power-based positioning (ARPAP) scheme is proposed. It reduces the antenna directivity effect by including the antenna pattern into the localization system model. It reduces the bias error that introduced by power measurement through estimating the line-of-sight (LoS) component in received signal strength (RSS). Moreover, the error mode for the proposed ARPAP system, along with the theoretical limit, Cramer-Rao Bound (CRB), and bias of the proposed positioning system are derived. The Pearson correlation coefficient between the proposed error model and simulation result shows a high similarity score. The proposed positioning scheme and analytic error model are instantiated for the cellular network. Both analytical model and simulation results demonstrate the superiority of the proposed method over traditional methods.
机译:基于传统的基于功率的本地化方法在实际应用环境中遭受了低精度。主要挑战是天线方向性和衰落效果。传统方法假设全向天线方向性,使得解决方案是多个圆形轮廓的交叉点。这种强烈的假设导致实际非各向同性天线应用中的显着本地化误差。在本文中,提出了一种新颖的天线辐射模式感知功率基定位(ARPAP)方案。通过将天线图案包括到本地化系统模型中,它减少了天线方向性效应。它通过估计所接收的信号强度(RSS)中的视线(LOS)分量来减少功率测量引入的偏差误差。此外,推导了所提出的ARPAP系统的误差模式,以及理论极限,Cramer-Rao绑定(CRB)和所提出定位系统的偏差。所提出的错误模型和仿真结果之间的Pearson相关系数显示了高相似度。为蜂窝网络实例化了所提出的定位方案和分析误差模型。分析模型和仿真结果均证明了在传统方法中提出的方法的优越性。

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