ToA-based Iterative Localization in Rich Multipath Channels

Eeckhaute, Mathieu Van; Vorst, Thomas Van der; Quitin, François; Doncker, Philippe De; Horlin, François

doi:10.1109/pimrc.2018.8580991

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…In addition, we can define the likelihood of the received signal at BS-i based on (8). More precisely, such likelihood can be modeled as a Gaussian distribution as…”

Section: A Centralized Direct Position Estimationmentioning

confidence: 99%

“…For instance IPE was extended in [7] to consider a time offset between transmitter and BSs, which can be directly related to this paper. In [8], IPE was extended for rich multipath scenarios which can be addressed in the SSPE framework by modifying the likelihood of the received signal.…”

Section: Sspe and Ipe Algorithm Relationshipmentioning

confidence: 99%

“…Therefore, the IPE algorithm also outperforms the two-step approach. Furthermore, the IPE algorithm has been extended for different case scenarios like: time-misaligned transmitters [7], rich multipath [8], angle-of-arrival based localization and others [9], [10]. Nonetheless, the IPE approach presents two main shortcomings.…”

Section: Introductionmentioning

confidence: 99%

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Self-Synchronization Based Localization of a Time-Misaligned Transmitter in Cellular Networks

Copa

Quitin

Vandendorpe

et al. 2022

IEEE Trans. Veh. Technol.

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Geo-localization services are an important functionality in cellular networks. Besides, the use of Ultra Dense Networks and small cells, in current and future cellular networks, greatly increases the complexity of centralized localization approaches. Consequently, we propose a Self-Synchronization Positioning Estimation (SSPE) algorithm that estimates the transmitter position in a distributed fashion. The proposed SSPE algorithm reaches consensus for the posterior distribution of the transmitter position rather than on the final estimates. Such consensus ensures that the proposed SSPE algorithm converges to the centralized Direct Positioning Estimation (DPE) approach, which has the best performance of all localization approaches. We show that the proposed algorithm is related to the Iterative Positioning Estimation (IPE) algorithm, since both exploit the self-synchronization mechanism. As a result, the improvements and extensions for IPE, previously studied in other works, can be directly applied to the proposed SSPE algorithm. In addition, the proposed algorithm is able to localize the transmitter even when it is not time synchronized with the network as it is usually the case. The performance of the algorithms is numerically assessed through Monte-Carlo simulations by the mean distance error and mean range offset error. Finally, we not only show that our approach gets close to the DPE performance after a few iterations, but also that it converges for different logical network configurations.

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“…In addition, we can define the likelihood of the received signal at BS-i based on (8). More precisely, such likelihood can be modeled as a Gaussian distribution as…”

Section: A Centralized Direct Position Estimationmentioning

confidence: 99%

Section: Sspe and Ipe Algorithm Relationshipmentioning

confidence: 99%

See 1 more Smart Citation

Self-Synchronization Based Localization of a Time-Misaligned Transmitter in Cellular Networks

Copa

Quitin

Vandendorpe

et al. 2022

IEEE Trans. Veh. Technol.

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“…Such range prior is then fed back to the BS to refine the range estimation in the first step. Moreover, the IPE algorithm introduces an iterative framework that has been extended and studied more in depth in [7] and [8] where the effect of multipath channels and time-misalignment between transmitter and receiver was studied over the algorithm. Finally, it has been also shown that the iterative framework proposed by the IPE algorithm could be used in different applications and scenarios such as angle of arrival (AOA)-based iterative localization [9] and localization on WLAN-like systems [10].…”

Section: Introductionmentioning

confidence: 99%

Iterative ToA-Based Localization of Wireless Transmitters Using Dirichlet-Kernel-Based Range Representation

Copa

Rottenberg

Quitin

et al. 2021

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)

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Iterative localization is currently seen as an attractive solution to localize a transmitter in a cellular network. It has been shown that, by iterating between a range estimation step and a multi-lateration step, it is possible to refine the estimation in the first step, where only local information is used at iteration one. The iterative approach gets close to the performance of direct localization; nevertheless, it does not seem to converge to the direct localization performance for medium and low signal-to-noise-ratio values, due to the fact that it still suffers from loss of information due to projections and data representation. In this work, we propose to approximate the range log-likelihood at the base station with a Dirichlet kernel and to perform all the processing in a common xy-domain so that projections are no longer needed. We numerically show that our approach brings significant performance gains as compared to the time-of-arrival based iterative position estimation algorithm, getting really close to the performance of direct localization.

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ToA-based Iterative Localization in Rich Multipath Channels

Cited by 2 publications

References 11 publications

Self-Synchronization Based Localization of a Time-Misaligned Transmitter in Cellular Networks

Self-Synchronization Based Localization of a Time-Misaligned Transmitter in Cellular Networks

Iterative ToA-Based Localization of Wireless Transmitters Using Dirichlet-Kernel-Based Range Representation

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