Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376254
G. Caparra, Marco Centenaro, N. Laurenti, S. Tomasin
While a growing number of Internet of Things (IoT) applications require reliable mechanisms to determine the precise location of remote devices, the aspects regarding the security of positioning algorithms should not be neglected. In this context, this paper proposes a physical-layer location verification method for IoT networks in which the concentrator node is assisted by several anchor nodes that are spread in the area of interest. We design an optimization problem to choose appropriately which anchor nodes should be triggered in the location verification process in order to minimize the activation rate of each anchor. The performance evaluation results show that the proposed policy achieves an activation rate reduction of the anchor nodes of at least 70%.
{"title":"Optimization of anchor nodes' usage for location verification systems","authors":"G. Caparra, Marco Centenaro, N. Laurenti, S. Tomasin","doi":"10.1109/ICL-GNSS.2017.8376254","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376254","url":null,"abstract":"While a growing number of Internet of Things (IoT) applications require reliable mechanisms to determine the precise location of remote devices, the aspects regarding the security of positioning algorithms should not be neglected. In this context, this paper proposes a physical-layer location verification method for IoT networks in which the concentrator node is assisted by several anchor nodes that are spread in the area of interest. We design an optimization problem to choose appropriately which anchor nodes should be triggered in the location verification process in order to minimize the activation rate of each anchor. The performance evaluation results show that the proposed policy achieves an activation rate reduction of the anchor nodes of at least 70%.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376244
Z. Gardner, D. Leibovici, A. Bassiri, G. Foody
Location privacy has become a growing concern impeding the adoption of many Location Based Services (LBS). Although there have been several approaches, such as anonymisation or obfuscation of location data, none has yet been completely successful at addressing privacy protection. This paper discusses the results of 256 survey responses which show that users' demands, expectations and concerns vary significantly among different user groups (by age, education, income, technological experience and social media activity) and infer that there is no ‘one fit for all’ solution for different LBS applications due to the variation in use.
{"title":"Trading-off location accuracy and service quality: Privacy concerns and user profiles","authors":"Z. Gardner, D. Leibovici, A. Bassiri, G. Foody","doi":"10.1109/ICL-GNSS.2017.8376244","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376244","url":null,"abstract":"Location privacy has become a growing concern impeding the adoption of many Location Based Services (LBS). Although there have been several approaches, such as anonymisation or obfuscation of location data, none has yet been completely successful at addressing privacy protection. This paper discusses the results of 256 survey responses which show that users' demands, expectations and concerns vary significantly among different user groups (by age, education, income, technological experience and social media activity) and infer that there is no ‘one fit for all’ solution for different LBS applications due to the variation in use.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115669958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376253
B. Siebler, F. Müller, O. Heirich, S. Sand
Large safety distances between consecutive trains limit the flexibility and capacity of rail traffic. The introduction of automatic distance control between trains has the potential to reduce the safety distances. This requires an accurate and reliable distance estimation. In this paper, we therefore evaluate the performance of a relative localization system that tightly integrates the global satellite navigation system (GNSS) measurements and a map of the track network. The tight integration reduces the absolute train position to a 1-D value that describes the position on a track. The relative position is then calculated by subtracting two 1-D positions. In an empirical evaluation the tightly integrated system is compared to a loosely integrated system and a cooperative approach based solely on GNSS measurements. The cooperative approach uses GNSS pseudorange and range rate double differences, to determine the baseline between two antennas. For the loosely integrated system first the 3-D train position is estimated in an extended Kalman filter (EKF). In a second step, this position is matched to the map to obtain the position on the track. The relative position root-mean-square error (RMSE) of the different approaches is determined with a 167 km long data set, measured on a diesel train over the duration of 6 hours. The data set is divided into open sky, suburban and forest environments. For each of these environments, six different antenna distances are evaluated. The results show that the tightly and loosely integrated systems have a considerable smaller RMSE than the cooperative approach. The difference in the average performance of the two map based approaches is negligible. An advantage of the tight integration can be seen only under poor satellite visibility conditions that were encountered only sporadic during the measurements.
{"title":"Algorithms for relative train localization with GNSS and track map: Evaluation and comparison","authors":"B. Siebler, F. Müller, O. Heirich, S. Sand","doi":"10.1109/ICL-GNSS.2017.8376253","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376253","url":null,"abstract":"Large safety distances between consecutive trains limit the flexibility and capacity of rail traffic. The introduction of automatic distance control between trains has the potential to reduce the safety distances. This requires an accurate and reliable distance estimation. In this paper, we therefore evaluate the performance of a relative localization system that tightly integrates the global satellite navigation system (GNSS) measurements and a map of the track network. The tight integration reduces the absolute train position to a 1-D value that describes the position on a track. The relative position is then calculated by subtracting two 1-D positions. In an empirical evaluation the tightly integrated system is compared to a loosely integrated system and a cooperative approach based solely on GNSS measurements. The cooperative approach uses GNSS pseudorange and range rate double differences, to determine the baseline between two antennas. For the loosely integrated system first the 3-D train position is estimated in an extended Kalman filter (EKF). In a second step, this position is matched to the map to obtain the position on the track. The relative position root-mean-square error (RMSE) of the different approaches is determined with a 167 km long data set, measured on a diesel train over the duration of 6 hours. The data set is divided into open sky, suburban and forest environments. For each of these environments, six different antenna distances are evaluated. The results show that the tightly and loosely integrated systems have a considerable smaller RMSE than the cooperative approach. The difference in the average performance of the two map based approaches is negligible. An advantage of the tight integration can be seen only under poor satellite visibility conditions that were encountered only sporadic during the measurements.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376240
Sophie Naylor, M. Gillott, G. Herries
This paper provides an overview of methods and models used for the localised detection of building occupants by combining data from a range of sensor types, and the prediction of future occupancy rates based on past data. The occupancy detection proposed here is designed to be implemented as part of a real-time responsive building energy management system, catering building energy use directly to occupant needs. The initial stages of testing used sensor data collected in a small office building in Nottingham, UK. A Neural Network model was trained using data from local environmental sensors, including CO2 level, motion detection, temperature, window status and the detection of personal mobile devices through Wi-Fi and Bluetooth connections. A predictive neural network model was also trained using simulated occupancy rates, with consideration for the level of uncertainty in the model outputs. The results of the study show that the combination of a select group of sensors can provide a lower error in the estimated number of occupants per zone than any single sensor type alone. However, when limited training data is available, it is not viable to include all sensors in the model, as this leads to overfitting. The sensors that give the greatest information gain were found to be best identified by comparing the occupancy estimation made by each sensor individually. It was found that the predictive model outperformed simpler occupancy prediction heuristics, especially when occupant behaviours differ from typical patterns.
{"title":"The development of occupancy monitoring for removing uncertainty within building energy management systems","authors":"Sophie Naylor, M. Gillott, G. Herries","doi":"10.1109/ICL-GNSS.2017.8376240","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376240","url":null,"abstract":"This paper provides an overview of methods and models used for the localised detection of building occupants by combining data from a range of sensor types, and the prediction of future occupancy rates based on past data. The occupancy detection proposed here is designed to be implemented as part of a real-time responsive building energy management system, catering building energy use directly to occupant needs. The initial stages of testing used sensor data collected in a small office building in Nottingham, UK. A Neural Network model was trained using data from local environmental sensors, including CO2 level, motion detection, temperature, window status and the detection of personal mobile devices through Wi-Fi and Bluetooth connections. A predictive neural network model was also trained using simulated occupancy rates, with consideration for the level of uncertainty in the model outputs. The results of the study show that the combination of a select group of sensors can provide a lower error in the estimated number of occupants per zone than any single sensor type alone. However, when limited training data is available, it is not viable to include all sensors in the model, as this leads to overfitting. The sensors that give the greatest information gain were found to be best identified by comparing the occupancy estimation made by each sensor individually. It was found that the predictive model outperformed simpler occupancy prediction heuristics, especially when occupant behaviours differ from typical patterns.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"118 34","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120820575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376246
Yu Zheng, Yang Yang, Wu Chen
GNSS based SAR system is a passive radar imaging system. Using the reflected GNSS signals, it has been demonstrated that various objects can be identified in GNSS-SAR images. However, compared with conventional SAR systems, the strength of the reflected GNSS signals is significantly lower. How far the objects can be detected by a GNSS-SAR system is a question. In this paper, we derived a theoretical range coverage for GNSS-SAR system for object recognition using object-background scattering contrast, with given false alarm and detection probabilities. Using a GPS software receiver at L1 frequency band, we can detect objects more than 2 km in the land and sea backgrounds, as the field of vision (FOV) for the experiments is approximately 2 km. Theoretically, with such a low cost GNSS software receiver, the operational range can reach 5–8 km.
{"title":"Analysis of radar sensing coverage of a passive GNSS-based SAR system","authors":"Yu Zheng, Yang Yang, Wu Chen","doi":"10.1109/ICL-GNSS.2017.8376246","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376246","url":null,"abstract":"GNSS based SAR system is a passive radar imaging system. Using the reflected GNSS signals, it has been demonstrated that various objects can be identified in GNSS-SAR images. However, compared with conventional SAR systems, the strength of the reflected GNSS signals is significantly lower. How far the objects can be detected by a GNSS-SAR system is a question. In this paper, we derived a theoretical range coverage for GNSS-SAR system for object recognition using object-background scattering contrast, with given false alarm and detection probabilities. Using a GPS software receiver at L1 frequency band, we can detect objects more than 2 km in the land and sea backgrounds, as the field of vision (FOV) for the experiments is approximately 2 km. Theoretically, with such a low cost GNSS software receiver, the operational range can reach 5–8 km.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123368127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-27DOI: 10.1109/ICL-GNSS.2017.8376247
Xiaoyue Hou, T. Arslan, Jiacheng Gu
This paper presents an investigation on the impact of the Bluetooth Low Energy (BLE) received signal strength indicator (RSSI) value for indoor localization in real line-of-sight (LOS) and dynamic non-LOS environments. Experimentation demonstrates that the RSSI value of BLE signals is unstable in indoor environments. The principle underlying this behavior is discussed in this paper. Two self-adaptive filters (smoothing filter and wavelet filter) are applied to stabilize and de-noise the RSSI sequence. We demonstrate that the stability of localization performance is enhanced by employing these filters. The standard deviation of the RSSI sequence is reduced from 4.6 meters to 0.8 meters, which means that a steady increase in the accuracy and stabilization of the localization is achieved.
{"title":"Indoor localization for Bluetooth low energy using wavelet and smoothing filter","authors":"Xiaoyue Hou, T. Arslan, Jiacheng Gu","doi":"10.1109/ICL-GNSS.2017.8376247","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376247","url":null,"abstract":"This paper presents an investigation on the impact of the Bluetooth Low Energy (BLE) received signal strength indicator (RSSI) value for indoor localization in real line-of-sight (LOS) and dynamic non-LOS environments. Experimentation demonstrates that the RSSI value of BLE signals is unstable in indoor environments. The principle underlying this behavior is discussed in this paper. Two self-adaptive filters (smoothing filter and wavelet filter) are applied to stabilize and de-noise the RSSI sequence. We demonstrate that the stability of localization performance is enhanced by employing these filters. The standard deviation of the RSSI sequence is reduced from 4.6 meters to 0.8 meters, which means that a steady increase in the accuracy and stabilization of the localization is achieved.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129219663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-01DOI: 10.1109/ICL-GNSS.2017.8376243
Barry R. Secrest, D. Richie, B. Rapp
Can we geolocate a GPS jammer using only smartphones located in the area? We present two mathematical approaches to solution and introduce a likelihood mapping. We validate these two approaches with a pedantic example, then contrast these two approaches by sensitivity analysis based on the example. Although our approach to solution is valid, we conclude from these experiments that real-world conditions inject too much error to make a direct mathematical solution of practical use. Future efforts center on real-world conditions and using a likelihood mapping.
{"title":"Mathematical underpinnings of crowdsource GPS jammer geolocation using signal strength readings from various locations","authors":"Barry R. Secrest, D. Richie, B. Rapp","doi":"10.1109/ICL-GNSS.2017.8376243","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376243","url":null,"abstract":"Can we geolocate a GPS jammer using only smartphones located in the area? We present two mathematical approaches to solution and introduce a likelihood mapping. We validate these two approaches with a pedantic example, then contrast these two approaches by sensitivity analysis based on the example. Although our approach to solution is valid, we conclude from these experiments that real-world conditions inject too much error to make a direct mathematical solution of practical use. Future efforts center on real-world conditions and using a likelihood mapping.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126796214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-01DOI: 10.1109/ICL-GNSS.2017.8376249
J. Pagot, O. Julien, Ikhlas Selmi
The ICAO Threat Model describes three cases of distortions that can occur on GPS L1 C/A signals. It defines digital and analog failures that may occur on the satellite payload. To cover a wider area of possible distortions, a Generic Threat Model (TM) based on the Fourier Transform of the signal distortions is proposed. Then, the distortion effects have to be detected and mitigated through Signal Quality Monitoring (SQM) algorithm, which is implemented on SBAS and GBAS ground infrastructures. The basic form of SQM uses simple metrics based on correlator outputs that are normalized by the correlation function prompt. Those normalized outputs can be used directly as a simple ratio metrics. They can also be combined to compute difference or sum metrics between symmetric correlator outputs pairs (with respect to the prompt) [1]. In this paper, an extended set of metrics is tested. It includes simple ratio, sum and difference between all monitored correlator outputs. The influence of several parameters related to correlator output positions is studied. The benefits provided by these new metrics compared to a baseline SQM are assessed and conclusions on the performed SQMs are made. The carried out tests are applied to Galileo E1 OS signals.
{"title":"Additional SQM metrics for generic TM detection","authors":"J. Pagot, O. Julien, Ikhlas Selmi","doi":"10.1109/ICL-GNSS.2017.8376249","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376249","url":null,"abstract":"The ICAO Threat Model describes three cases of distortions that can occur on GPS L1 C/A signals. It defines digital and analog failures that may occur on the satellite payload. To cover a wider area of possible distortions, a Generic Threat Model (TM) based on the Fourier Transform of the signal distortions is proposed. Then, the distortion effects have to be detected and mitigated through Signal Quality Monitoring (SQM) algorithm, which is implemented on SBAS and GBAS ground infrastructures. The basic form of SQM uses simple metrics based on correlator outputs that are normalized by the correlation function prompt. Those normalized outputs can be used directly as a simple ratio metrics. They can also be combined to compute difference or sum metrics between symmetric correlator outputs pairs (with respect to the prompt) [1]. In this paper, an extended set of metrics is tested. It includes simple ratio, sum and difference between all monitored correlator outputs. The influence of several parameters related to correlator output positions is studied. The benefits provided by these new metrics compared to a baseline SQM are assessed and conclusions on the performed SQMs are made. The carried out tests are applied to Galileo E1 OS signals.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131293827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-01DOI: 10.1109/ICL-GNSS.2017.8376245
Rong Wang, Zhi Xiong, Jianye Liu, Rongbing Li, Yuxuan Cao
The fault tolerance capacity of fusion algorithm is critical for the robustness and stability of multi-sensors navigation system in failure. In traditional fault-tolerant fusion algorithm, the fault subsystem is isolated entirely on the fault- detected epoch. This strategy ignored the asymptotic changing and components difference of soft failure influence. In this paper, an asymptotic fault-tolerant fusion algorithm based on P-value mapping is proposed for multi-sensors navigation. The failure influence mapped on local estimation components is modelled. Then quality of local estimation influenced by soft failure is evaluated according to P-value theory. The estimated quality values of local estimations are used as reference for fault-tolerant tuning in global fusion. Simulations of INS/GPS/SAR integrated navigation using the traditional federal filter and the proposed fault-tolerant algorithm are carried out. The simulation results indicate that the fault-tolerant performance under soft failure is improved significantly by using proposed algorithm.
{"title":"Asymptotic fault-tolerant fusion algorithm based on P-value mapping for multi-sensors navigation","authors":"Rong Wang, Zhi Xiong, Jianye Liu, Rongbing Li, Yuxuan Cao","doi":"10.1109/ICL-GNSS.2017.8376245","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376245","url":null,"abstract":"The fault tolerance capacity of fusion algorithm is critical for the robustness and stability of multi-sensors navigation system in failure. In traditional fault-tolerant fusion algorithm, the fault subsystem is isolated entirely on the fault- detected epoch. This strategy ignored the asymptotic changing and components difference of soft failure influence. In this paper, an asymptotic fault-tolerant fusion algorithm based on P-value mapping is proposed for multi-sensors navigation. The failure influence mapped on local estimation components is modelled. Then quality of local estimation influenced by soft failure is evaluated according to P-value theory. The estimated quality values of local estimations are used as reference for fault-tolerant tuning in global fusion. Simulations of INS/GPS/SAR integrated navigation using the traditional federal filter and the proposed fault-tolerant algorithm are carried out. The simulation results indicate that the fault-tolerant performance under soft failure is improved significantly by using proposed algorithm.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131931328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-01DOI: 10.1109/ICL-GNSS.2017.8376239
Mohammad H. Soliman, S. Sand, M. Schmidhammer, E. Staudinger
Ultra-reliable communication systems are drawing a lot of attention due to the rising demand on new wireless technologies for safety critical applications. Many of these applications require ultra-reliable distance estimation between the communicating nodes. Automatic coupling between train wagons is one of the scenarios where ultra-reliable communication and ranging at short distances is required. The main objective of this paper is to define a theoretical channel model for the aforementioned scenario, to define a proper discrete equivalence of the communication system model, and to derive Cramer Rao Lower Bounds for ranging accuracy. Ranging accuracy simulation results are provided using three systems: ITS-G5, IR- UWB, and a proposed 5G wide band system operating in the mm-Wave frequency band. We show from the results that the proposed mm-Wave system is suitable for ultra-reliable ranging at short distances.
{"title":"Effect of non-integer delay on ranging accuracy for ultra-reliable systems","authors":"Mohammad H. Soliman, S. Sand, M. Schmidhammer, E. Staudinger","doi":"10.1109/ICL-GNSS.2017.8376239","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2017.8376239","url":null,"abstract":"Ultra-reliable communication systems are drawing a lot of attention due to the rising demand on new wireless technologies for safety critical applications. Many of these applications require ultra-reliable distance estimation between the communicating nodes. Automatic coupling between train wagons is one of the scenarios where ultra-reliable communication and ranging at short distances is required. The main objective of this paper is to define a theoretical channel model for the aforementioned scenario, to define a proper discrete equivalence of the communication system model, and to derive Cramer Rao Lower Bounds for ranging accuracy. Ranging accuracy simulation results are provided using three systems: ITS-G5, IR- UWB, and a proposed 5G wide band system operating in the mm-Wave frequency band. We show from the results that the proposed mm-Wave system is suitable for ultra-reliable ranging at short distances.","PeriodicalId":330366,"journal":{"name":"2017 International Conference on Localization and GNSS (ICL-GNSS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116385163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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