Statistical Path Loss Parameter Estimation and Positioning using RSS Measurements

Nurminen, Henri; Talvitie, Jukka; Ali-Löytty, Simo; Müller, Philipp; Lohan, Elena-Simona; Piché, Robert; Renfors, Markku

doi:10.5081/jgps.12.1.13

Cited by 9 publications

(8 citation statements)

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“…Authors in [90] use a Bayesian method for off-line estimation of the position and the path loss model parameters of a transmitter (i.e., cellular tower or Wi-Fi AP) and then test three different methods in an indoor office environment: a grid method that uses standard Monte Carlo integration, the Metropolis-Hastings algorithm, and the Iterative Reweighed Least Square algorithm. Along the same line, a Bayesian positioning algorithm based on the RaoBlackwellized particle filter, where the parameters of the path loss model are estimated independently for each AP in addition to localizing the user, is presented in [91].…”

Section: Lateration Approachmentioning

confidence: 99%

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

369

171

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Abstract-Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on Wireless Local Area Networks (WLAN), highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in Wireless Sensor Networks (WSN) and are nowadays gaining attention for several envisioned Internet of Things (IoT) applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor Simultaneous Localization and Mapping (SLAM) approaches.The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.

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Section: Lateration Approachmentioning

confidence: 99%

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Laoudias¹,

Moreira

Kim

et al. 2018

IEEE Commun. Surv. Tutorials

369

171

View full text Add to dashboard Cite

show abstract

“…In [14], statistical gridbased RF fingerprinting framework is given utilizing multivariate Gaussian model for RSSI measurements from several WLAN access points and exploiting the interdependencies among them. In [15], dedicated outdoor WLAN network was used for RF fingerprinting in urban environment and the results indicate good positioning accuracy with errors in the tens of meters. Moreover, hybrid outdoor positioning performance using 3G and WLAN network field measurements was studied in [16].…”

Section: A Prior Workmentioning

confidence: 98%

Performance evaluation of LTE radio fingerprinting using field measurements

Turkka

Hiltunen

Mondal

et al. 2015

2015 International Symposium on Wireless Communication Systems (ISWCS)

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This paper evaluates positioning accuracy of radio fingerprinting algorithm in commercially deployed LTE (Long Term Evolution) network operating on 800 MHz, 1800 MHz and 2600 MHz frequency bands. Training database required for fingerprint positioning is constructed from field measurements that resemble LTE Release 10 Minimization of Drive Test (MDT) trace records. Performance is compared between LTE and LTE+WLAN grid-based RF fingerprint measurements utilizing partial fingerprint matching. Results indicate that partial fingerprints that consist of LTE and WLAN radio measurements decrease positioning errors at least by a factor of 3.5x while the percentage of discarded samples is kept low. This emphasizes the importance of having generic MDT functionality for automating the collection and correlation of radio measurements in heterogeneous LTE and WLAN networks.

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“…This matching is not ideal due to channel effects, such as multipath and shadowing, which introduce a high variability in the observed received signal strength. For this reason, the estimated position error is usually found to be of a few metres, depending on the density of the WLAN network [8], [10], [11].…”

Section: Wireless Local Area Network (Wlan)mentioning

confidence: 99%

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

Basiri

Peltola

Silva

et al. 2015

2015 International Conference on Location and GNSS (ICL-GNSS)

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TF), Ultra Sound (US) and High Sensitivity GNSS (HSGNSS).This paper evaluates the practicality and fitness-to-the-purpose of pedestrian navigation for these stand-alone positioning technologies to identify the best one for the purpose of indoor pedestrian navigation. In this regard, the most important criteria defining a suitable positioning service for pedestrian navigation are identified and prioritised. They include accuracy, availability, cost, power consumption and privacy. Each technology is evaluated according to each criterion using Analytic Hierarchy Process (AHP) and finally the combination of all weighted criteria and technologies are processed to identify the most suitable solution.

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Statistical Path Loss Parameter Estimation and Positioning using RSS Measurements

Cited by 9 publications

References 0 publications

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Performance evaluation of LTE radio fingerprinting using field measurements

Indoor positioning technology assessment using analytic hierarchy process for pedestrian navigation services

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