Enhanced TOA-based indoor-positioning algorithm for mobile LTE cellular systems

Benedetto, Francesco; Giunta, Gaetano; Guzzon, E.

doi:10.1109/wpnc.2011.5961030

Cited by 22 publications

(18 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The situation is even worse when the time measurement errors increase. An unquestionable advantage of the proposed method of signal detection is the lack of ambiguity of the result in comparison with the proposal in [13]. The method described in [13] fails for channels characterized by a long time duration of impulse response with several local extremes, which is frequently observed in NLoS conditions, or when several consecutive pulses overlap without clearly visible gaps between them.…”

Section: Algorithm Verificationmentioning

confidence: 96%

“…The literature presents several different algorithms for detecting the arrival of a signal. The algorithm presented in [13] makes a parabolic interpolation around the maximum of a correlation function between the received signal and the pattern signal stored at the receiver. The time of the signal arrival is assumed as the position of the maximum of this parabolic function.…”

Section: Proposed Algorithmmentioning

confidence: 99%

“…The method described in [13] fails for channels characterized by a long time duration of impulse response with several local extremes, which is frequently observed in NLoS conditions, or when several consecutive pulses overlap without clearly visible gaps between them. One may say that there is still a possibility of using parabolic interpolation presented in [13] for first component of NLoS channel impulse response to get better estimate of time of arrival, but it may be not a trivial task. We will discuss it using exemplary channel impulse responses presented in Figure 8.…”

Section: Algorithm Verificationmentioning

confidence: 99%

“…When the first component of received signal has the highest power (Figure 8(a)), the method presented in [13] gives good estimate of position of peak of correlation function. But in typical urban environment NLoS propagation conditions should be expected, with the first component not being the one with highest power (Figure 8(b)).…”

Section: Algorithm Verificationmentioning

confidence: 99%

See 3 more Smart Citations

Detection of the First Component of the Received LTE Signal in the OTDoA Method

Gadka

Sadowski

Stefański

2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In a modern world there is a growing demand for localization services of various kinds. Position estimation can be realized via cellular networks, especially in the currently widely deployed LTE (Long Term Evolution) networks. However, it is not an easy task in harsh propagation conditions which often occur in dense urban environments. Recently, time-methods of terminal localization within the network have been the focus of attention, with the OTDoA (Observed Time Difference of Arrival) method in particular. One of the main factors influencing the accuracy of location estimation in the OTDoA method is the nature of the propagation channel that affects the ease of isolating the signal component travelling from the transmitter to the receiver through the shortest path. To obtain the smallest possible localization error, it is necessary to detect the first received component of the useful signal. This aim could be achieved by using a proper algorithm within the receiver. This paper proposes a new algorithm for effective detecting of the first component of the LTE downlink signal in the multipath environment. In a mobile terminal location estimation process, CSRS (Cell Specific Reference Signal) signals were used instead of dedicated PRS (Positioning Reference Signal) signals. New solution was verified during the measurement campaign in a real LTE network.

show abstract

Section: Algorithm Verificationmentioning

confidence: 96%

Section: Proposed Algorithmmentioning

confidence: 99%

Section: Algorithm Verificationmentioning

confidence: 99%

Section: Algorithm Verificationmentioning

confidence: 99%

See 2 more Smart Citations

Detection of the First Component of the Received LTE Signal in the OTDoA Method

Gadka

Sadowski

Stefański

2019

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Además, ninguno de los estudios existentes realiza una comparación de las implementaciones de los distintos métodos para obtener de forma empírica cuál es el que proporciona lo mejores resultados, sobre todo bajo la suposición de tener disponibles los mismos datos que en una red real operativa. Respecto a las prestaciones de los métodos de localización en LTE, dado el reciente despliegue en algunos países y la inexistencia, salvo en fase de test y pruebas piloto, en otros, no abundan las publicaciones de estudios y resultados en relación con esta tecnología, aunque sí es posible encontrar algunos basados en simulaciones [7,8,20,21] o prototipos simples [22] y también manuales de fabricantes abordando las posibilidades de localización que ofrece LTE [23].…”

Section: Estado Del Arteunclassified

Planificación y Optimización Automática de Redes Móviles LTE

Ginés¹

View full text Add to dashboard Cite

Currently, wireless mobile communications are immersed in a process of evolution. 3G technologies give way to 4G, in a context of tremendous growth in traffic demand by users of mobile broadband, and the introduction of LTE technology is starting to spread.In this process of improvement, which is a major financial outlay for mobile operators, there is a growing interest in reducing operational expenditures of planning and network optimization, for which automatic mechanisms that perform these functions emerge as the ideal solution.This PhD Thesis proposes various automatic mechanisms for planning and optimization of LTE networks and provides a detailed study of its performance. The content is structured in three sections, preceded by a description of the followed methodology, which is based on simulations, and the different assumptions made.The first part focuses on the treatment of available information and describes a set of tools designed to assist in the proposed processes. Of great relevance to the rest of the thesis is the designed location algorithm, which is a fundamental tool in all automatic planning and optimisation mechanisms due to the ability of geo-referencing the information used. The great advantage of the algorithm is that it is possible to use it without introducing any new elements in the network which enable it, as it is based on measurements made during normal operation of the network, acquired through call tracing tools. It is also worth mentioning the use of expert systems based on neural networks for obtaining feedback for specific recommendations given by the designed optimization tool.Secondly, the planning and optimization of LTE radio access network using heuristic search methods of the optimal solution are treated. The use of realistic traffic maps, enabled by the location algorithm, and the estimation of the load in each cell allows accurate assessment of the performance of the different candidate solutions in an acceptable time, thanks to the linearization of the models used among other methods proposed for efficient execution of the process. It also assesses the impact of the localization algorithm error on the planning and optimization solutions obtained.Finally, because of radio spectrum resources are limited and need to be managed properly, the best options are analysed when it comes to the reuse of available resources and the migration of base stations of legacy technologies. Furthermore, in order to mitigate the shortage of available resources in frequency, the usage of opportunistic spectrum access mechanisms are proposed to make use of underutilized resources in other wireless systems. This opportunistic access applies to macrocellular environments, where again the location algorithm is an essential tool, and femtocellular environments. Additionally, implementation details of the necessary coordination mechanisms and performance evaluation results are provided. El estándar Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) representa la evoluci...

show abstract

Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Wang

Morton

2020

Navigation

View full text Add to dashboard Cite

Long term evolution (LTE) signals have the potential for use in positioning, especially in challenging environments. The time-of-arrival (TOA)-based technique supported by LTE is attractive due to its high positioning accuracy. However, it is vulnerable to multipath propagation effects in typical LTE channels. This paper will summarize several existing advanced TOA estimators for LTE signals, i.e., first peak detection, information theoretic criteria, super-resolution algorithm, and delay-lock loop (DLL). Later, the paper will evaluate the TOA estimation performances of these techniques with multipath propagation effects and varying signal conditions using simulations. For the DLL, the multipath error envelope metric is assessed for different signal bandwidths. The root mean square errors of the TOA estimations are compared to evaluate suitable TOA estimators under various conditions. Finally, some other performance characteristics of these techniques are also discussed. K E Y W O R D S long term evolution, multipath propagation channel, time-of-arrival estimation This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

show abstract

Enhanced TOA-based indoor-positioning algorithm for mobile LTE cellular systems

Cited by 22 publications

References 7 publications

Detection of the First Component of the Received LTE Signal in the OTDoA Method

Detection of the First Component of the Received LTE Signal in the OTDoA Method

Planificación y Optimización Automática de Redes Móviles LTE

Performance comparison of time‐of‐arrival estimation techniques for LTE signals in realistic multipath propagation channels

Contact Info

Product

Resources

About