Recursive Phase Extraction for Holographic Localization of Incoherent FMCW Beacons

Melanie Lipka, Erik Sippel, S. Brückner, M. Vossiek
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Abstract

Radio-based localization systems are a vibrant field of scientific research with various use-cases in indoor environments. Particularly, the live tracking of freely moving objects offers significant value; however, such tracking requires high update rates and precise localization. An advanced approach with low computational effort is the holographic extended Kalman filter (HEKF), which has already achieved accuracy in the cm-range even with a moderate bandwidth. Hereby, the phase value is extracted from the peak of the spectrum requiring a maximum-search in the full spectrum. The computational effort in frequency-modulated-continuous-wave systems can be reduced by replacing the maximum search by calculating the evaluation bin. In this paper, a recursive method for the phase extraction for HEKFs in secondary radar systems with an incoherent beacon is presented and evaluated using a 24 GHz frequency-modulated-continuous-wave system.
非相干FMCW信标全息定位的递推相位提取
基于无线电的定位系统是一个充满活力的科学研究领域,在室内环境中有各种用例。特别是对自由运动物体的实时跟踪提供了重要的价值;然而,这种跟踪需要高更新率和精确定位。一种计算量低的先进方法是全息扩展卡尔曼滤波器(HEKF),即使在中等带宽下也能达到厘米范围内的精度。因此,相位值是从需要在全光谱中进行最大搜索的光谱峰中提取的。在调频连续波系统中,通过计算求值仓来代替最大搜索,可以减少计算量。本文提出了一种非相干信标二次雷达系统中HEKFs相位提取的递推方法,并在24ghz调频连续波系统中进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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