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On the duality of Phase-based and Phase-less RSSI MUSIC algorithm for Direction of Arrival estimation

机译:关于阶段基于阶段的二元性,估计阶段较少的RSSI音乐算法

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In last years the interest in indoor localization techniques is grown very quickly: due to huge increase of interest in domotic technologies and to fast improvement of capabilities for mobile devices, which are becoming always-connected support points for standard users, the capability of making spatial data-contextualization has become an important point of interest. Existing GPS technologies aren't capable of realizing sufficient accuracy needed for indoor positioning, so it is necessary to find alternative cost-effective methods to resolve localization problem. Excluding odometry-based tracking methods (which present a lot of uncertainty for making an absolute positioning), famous signal DoA (Direction Of Arrival) spectral-based localization algorithms like CAPON, ESPRIT, MUSIC[1],[2] provide valid localization accuracy assuming device capability to analyze in real-time physical parameters (amplitude/phase) of received radiocommunication signals to a spatial antenna array. This requirement could be achieved using ad-hoc radio equipment, which causes an increase of production costs: maybe, it is far better to develop some kind of new algorithms capable of using standard IEEE wireless protocols information (like RSS indicator, RSSI) for positioning elaboration. In this article, it will be analytically demonstrated the capability of MUSIC[1] algorithm to elaborate RSSI standard transceiver values (placing some measurement conditions), and there will be shown a comparison between DoA localizations using the classical information set (amplitude/phase) and the RSSI set (obtained simply reading transceiver standard registers).
机译:在过去几年中的室内定位技术的兴趣是生长速度非常快:由于在家庭自动化技术和快速改进的功能,用于移动设备,这正在成为始终连接的支撑点为标准用户,使得空间的能力,兴趣大幅增加数据语境化已成为一项重要的兴趣点。现有的GPS技术是不能够实现所需的室内定位足够准确的,所以需要寻找替代成本效益的方法来解决定位问题。不计里程计-跟踪方法(其中存在大量的不确定性的用于制造绝对定位),著名信号的DoA(到达方向)基于光谱的定位算法等CAPON,ESPRIT,MUSIC [1],[2]提供有效的定位精度假设设备能力,以接收无线电通信信号的实时物理参数(幅度/相位)的空间天线阵列分析。这种要求可以通过使用点对点无线电设备,这将导致生产成本的增加来实现:也许,这是远不如开发出某种新的算法能够使用标准的IEEE无线协议的信息(如RSS指标,RSSI)定位阐述。在这篇文章中,将分析证明MUSIC [1]算法来阐述RSSI标准收发器的值(将一些测量条件)的能力,并有将示出使用经典信息组的DoA本地化之间的比较(振幅/相位)和RSSI集(获得简单地读取收发机标准寄存器)。

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