Evaluation of Position-Related Information in Multipath Components for Indoor Positioning

Abstract

Location awareness is a key factor for a wealth of wireless indoor applications. Its provision requires the careful fusion of diverse information sources. For agents that use radio signals for localization, this information may either come from signal transmissions with respect to fixed anchors, from cooperative transmissions inbetween agents, or from radar-like monostatic transmissions. Using a-priori knowledge of a floor plan of the environment, specular multipath components can be exploited, based on a geometric-stochastic channel model. In this paper, a unified framework is presented for the quantification of this type of position-related information, using the concept of equivalent Fisher information. We derive analytical results for the Cramér-Rao lower bound of multipath-assisted positioning, considering bistatic transmissions between agents and fixed anchors, monostatic transmissions from agents, cooperative measurements inbetween agents, and combinations thereof, including the effect of clock offsets. Awareness of this information enables highly accurate and robust indoor positioning. Computational results show the applicability of the framework for the characterization of the localization capabilities of a given environment, quantifying the influence of different system setups, signal parameters, and the impact of path overlap.

An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms

“…We further notice that BLE4.0 beacon ’Be08’ has been placed by the left edge of the entrance door, close to the a corridor with a glass wall, Figure 3d. Our choice has been based on recent results reported in the literature claiming that knowing the geometry of the experimental environment space may be exploited to develop more accurate indoor localization mechanisms [12]. …”

“…As mentioned in the introduction, recent studies have shown that the use of a priori floor plan information may enable the development of more accurate wireless indoor localization schemes [12]. …”

High-accuracy positioning for indoor applications: RFID, UWB, 5G, and beyond

“…To properly weigh the position-related information of each range measurement [38], their SINR values are determined, which now define the power ratios between the useful deterministic MPCs and the DM interference plus noise at the corresponding delays. The SINRs are related to the range uncertainties of the MPCs that are associated with VAs [42], [43]. An online estimation of these range uncertainties also allows for an efficient selection of the VAs that provide reliable position-related information.…”

“…6 [2], [43]. It can be seen that an error below 10 cm is achievable over almost the whole scenario with only a single anchor.…”

Assessment of Receiver Signal Strength Sensing for Location Estimation Based on Fisher Information

“…FI and CRB analysis has been fundamental to the estimation discipline for decades and is clearly applicable to the present application which is relating the accuracy of an MWD location estimator to the set of RSS observables. However, while there are some publications that refer to the FI related to RSS observables [5,6], there are additional and fundamental insights that can be gleaned. The objective of this paper is primarily to provide a more unified approach for the analysis of the FI over a set of RSS observables in the MWD location estimation context and in that process illuminate insights that have, in the authors’ opinion, hitherto been obscured.…”