On the Effective Length of Channel Impulse Responses in UWB Single Anchor Localization

Schmidt, Sven Ole; Cimdins, Marco; Hellbrück, Horst

doi:10.1109/icl-gnss.2019.8752644

Cited by 7 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To ensure clear localization, we aim for bijective mapping for a specific set of CPs in which the tag is placed later on. In order to fulfill this condition, for initialization, the optimal anchor position

is selected in such a way that the receive signals are unambiguous at all CPs; see [ 13 ]. We discuss the positioning of the anchor in Section 4.1 .…”

Section: Construction Of Receive Signals With a Three-dimensional Mul...mentioning

confidence: 99%

“…In Section 3.2 , we define it such that all tag positions must result in unambiguous CIRs with respect to our chosen anchor position to avoid the need of additional assumptions, measured information, or sensors. To place the anchor with respect to this case, in our previous work [ 13 ], we introduced the effective length of CIRs

as a measure of the analyzed time interval to achieve unambiguity of CIRs.…”

Section: Localization Algorithmmentioning

confidence: 99%

“…However, single-anchor localization also faces many challenges, such as the limited information available from one anchor, the multipath propagation of the wireless signals, and the non-line-of-sight conditions. To overcome these challenges, different approaches have been proposed, such as moving mobile anchors [ 6 , 7 ], integration of external inertial measurement units (IMUs) [ 8 ], applying advanced signal processing [ 9 ] and optimization methods [ 10 , 11 ], as well as exploiting multipath signals [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

Among other methods, UWB-based multi-anchor localization systems have been established for industrial indoor localization systems. However, multi-anchor systems have high costs and installation effort. By exploiting the multipath propagation of the UWB signal, the infrastructure and thus the costs of conventional systems can be reduced. Our UWB Single-Anchor Localization System (SALOS) successfully pursues this approach. The idea is to create a localization system with sophisticated signal modeling. Therefore, measured reference, like fingerprinting or training, is not required for position estimation. Although SALOS has already been implemented and tested successfully in an outdoor scenario with multipath propagation, it has not yet been evaluated in an indoor environment with challenging and hardly predictable multipath propagation. For this purpose, we have developed new algorithms for the existing hardware, mainly a three-dimensional statistical multipath propagation model for arbitrary spatial geometries. The signal propagation between the anchor and predefined candidate points for the tag position is modeled in path length and complex-valued receive amplitudes. For position estimation, these modeled signals are combined to multiple sets and compared to UWB measurements via a similarity metric. Finally, a majority decision of multiple position estimates is performed. For evaluation, we implement our localization system in a modular fashion and install the system in a building. For a fixed grid of 20 positions, the localization is evaluated in terms of position accuracy. The system results in correct position estimations for more than 73% of the measurements.

show abstract

is selected in such a way that the receive signals are unambiguous at all CPs; see [ 13 ]. We discuss the positioning of the anchor in Section 4.1 .…”

Section: Construction Of Receive Signals With a Three-dimensional Mul...mentioning

confidence: 99%

as a measure of the analyzed time interval to achieve unambiguity of CIRs.…”

Section: Localization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Research of device-free localization systems started in 2007 with a paper by Youssef et al, providing the proof-of-concept of a device-free localization system and providing challenges and future research directions [ 4 ]. Several authors demonstrated in tag-based localization systems that considering multipath components reduces the number of nodes or that a single anchor is enough to cover the target area [ 7 , 8 , 9 ]. Similarly, we aim to turn multipath propagation for device-free localization from foe to friend.…”

Section: Related Workmentioning

confidence: 99%

MAMPI-UWB—Multipath-Assisted Device-Free Localization with Magnitude and Phase Information with UWB Transceivers

Cimdins

Schmidt

Hellbrück

2020

Sensors

Self Cite

View full text Add to dashboard Cite

In this paper, we propose a multipath-assisted device-free localization (DFL) system that includes magnitude and phase information (MAMPI). The DFL system employs ultra-wideband (UWB) channel impulse response (CIR) measurements, enabling the extraction of several multipath components (MPCs) and thereby benefits from multipath propagation. We propose a radio propagation model that calculates the effect on the received signal based on the position of a person within a target area. Additionally, we propose a validated error model for the measurements and explain the creation of different feature vectors and extraction of the MPCs from Decawave DW1000 CIR measurements. We evaluate the system via simulations of the position error probability and a measurement setup in an indoor scenario. We compare the performance of MAMPI to a conventional DFL system based on four sensor nodes that measures radio signal strength values. The combination of the magnitude and phase differences for the feature vectors results in a position error probability that is comparable to a conventional system but requires only two sensor nodes.

show abstract

“…However, singleanchor localization also faces many challenges, such as the limited information available from one anchor, the multipath propagation of the wireless signals, and the non-line-ofsight conditions. To overcome these challenges, different approaches have been proposed, such as moving mobile anchors [6,7], integration of external inertial measurement units (IMUs) [8], applying advanced signal processing [9] and optimization methods [10,11], as well as exploiting multipath signals [12,13].…”

Section: Introductionmentioning

confidence: 99%

SALOS - A UWB Single Anchor Indoor Localization System based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Preprint

View full text Add to dashboard Cite

Among others, UWB-based multi anchor localization systems have been established for industrial indoor localization systems. However, multi anchor systems have high costs and installation effort. By exploiting the multipath propagation of the UWB signal, the infrastructure and thus the costs of conventional systems can be reduced. Our UWB Single Anchor Localization System (SALOS) successfully pursues this approach. The idea behind SALOS is to create a localization system with a sophisticated signal modeling. Therefore, neither measured reference like fingerprinting nor training is required for position estimation. Although SALOS has been implemented and tested successfully already in an outdoor scenario with multipath propagation, it has not yet been evaluated in indoor environment with challenging and hardly predictable multipath propagation. For this purpose, we have developed new algorithms for the existing hardware mainly a three-dimensional statistical multipath propagation model for arbitrary spatial geometries. The signal propagation between the anchor and predefined candidate points for the tag position is modeled in path length and complex-valued receive amplitudes. For position estimation, these modeled signals are combined to multiple sets and compared to UWB measurements via a similarity metric. In the end, a majority decision of multiple position estimates is performed. For evaluation, we implement SALOS in a modular fashion and install the system in a building. For a fixed grid of 20 positions, SALOS is evaluated in terms of position accuracy. The system results in correct position estimations for more than 73% of the measurements.

show abstract

On the Effective Length of Channel Impulse Responses in UWB Single Anchor Localization

Cited by 7 publications

References 9 publications

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

MAMPI-UWB—Multipath-Assisted Device-Free Localization with Magnitude and Phase Information with UWB Transceivers

SALOS - A UWB Single Anchor Indoor Localization System based on a Statistical Multipath Propagation Model

Contact Info

Product

Resources

About