Pub Date : 2017-10-01DOI: 10.1109/WPNC.2017.8250080
Fabian Harrer, F. Pfeiffer, A. Löffler, Thomas Gisder, E. Biebl
This paper presents a Synthetic Aperture Radar (SAR) algorithm for automotive applications to increase azimuth resolution for radar sensors. The image representation can be used as an amplitude map for autonomous maneuvers. The algorithm's emphasis lies on continuous calculation so that current images become immediately available. Thus, the algorithm is described together with a two-grid approach for calculation and storage. In addition, measurements are presented to clarify the SAR procedure. An outlook on a real-time calculation for continuous driving concludes the work.
{"title":"Synthetic aperture radar algorithm for a global amplitude map","authors":"Fabian Harrer, F. Pfeiffer, A. Löffler, Thomas Gisder, E. Biebl","doi":"10.1109/WPNC.2017.8250080","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250080","url":null,"abstract":"This paper presents a Synthetic Aperture Radar (SAR) algorithm for automotive applications to increase azimuth resolution for radar sensors. The image representation can be used as an amplitude map for autonomous maneuvers. The algorithm's emphasis lies on continuous calculation so that current images become immediately available. Thus, the algorithm is described together with a two-grid approach for calculation and storage. In addition, measurements are presented to clarify the SAR procedure. An outlook on a real-time calculation for continuous driving concludes the work.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116502749","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250079
I. Dotlic, Andrew Connell, Hang Ma, Jeff Clancy, Michael McLaughlin
The paper describes principles of angle of arrival estimation using an anchor and a tag which are built around Decawave's DW1000 impulse radio ultra-wideband IC. Typical experimental results are provided that show the performance of Decawave's AOA demo kit based on this architecture.
{"title":"Angle of arrival estimation using decawave DW1000 integrated circuits","authors":"I. Dotlic, Andrew Connell, Hang Ma, Jeff Clancy, Michael McLaughlin","doi":"10.1109/WPNC.2017.8250079","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250079","url":null,"abstract":"The paper describes principles of angle of arrival estimation using an anchor and a tag which are built around Decawave's DW1000 impulse radio ultra-wideband IC. Typical experimental results are provided that show the performance of Decawave's AOA demo kit based on this architecture.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128293992","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250057
Remun Koirala, B. Denis, D. Dardari, B. Uguen
In this paper we study optimal beamforming policy to minimize the Cramer Rao Lower Bound (CRLB) of joint angle of arrival (AoA) and time delay estimation for a multicarrier millimeter wave (mmWave) system. Considering one single base station (BS) with rough a priori knowledge of channel coefficients and location information of the mobile station (MS), we show that it is possible to improve the accuracy of AoA and time delay estimation, and hence of mobile station (MS) positioning, by means of optimized beamforming. Mathematical formulation of the CRLB is first introduced and the related optimization problem is solved for a each single subcarrier independently. Then we propose a solution optimizing the beamformer jointly for the multicarrier system. A few examples are provided to illustrate the benefits from bound-based beamforming optimization.
{"title":"Localization bound based beamforming optimization for multicarrier mmWave MIMO","authors":"Remun Koirala, B. Denis, D. Dardari, B. Uguen","doi":"10.1109/WPNC.2017.8250057","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250057","url":null,"abstract":"In this paper we study optimal beamforming policy to minimize the Cramer Rao Lower Bound (CRLB) of joint angle of arrival (AoA) and time delay estimation for a multicarrier millimeter wave (mmWave) system. Considering one single base station (BS) with rough a priori knowledge of channel coefficients and location information of the mobile station (MS), we show that it is possible to improve the accuracy of AoA and time delay estimation, and hence of mobile station (MS) positioning, by means of optimized beamforming. Mathematical formulation of the CRLB is first introduced and the related optimization problem is solved for a each single subcarrier independently. Then we propose a solution optimizing the beamformer jointly for the multicarrier system. A few examples are provided to illustrate the benefits from bound-based beamforming optimization.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836367","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250078
Yannic Schröder, Dennis Reimers, L. Wolf
This paper introduces a test environment to evaluate phase-based ranging and localization techniques. It consists of a Continous Integration system for automated tests on real hardware and a testbed to evaluate system performance under realistic conditions. A modular architecture fulfilling the special requirements of phase-based ranging evaluations is proposed. The architecture can be deployed using diverse hardware to allow great flexibility in experiment designs. Further, we present a deployment of the testbed architecture based on off-the-shelf Single-Board Computers and our own wireless sensor node in our university building.
{"title":"A test environment for phase-based ranging and localization","authors":"Yannic Schröder, Dennis Reimers, L. Wolf","doi":"10.1109/WPNC.2017.8250078","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250078","url":null,"abstract":"This paper introduces a test environment to evaluate phase-based ranging and localization techniques. It consists of a Continous Integration system for automated tests on real hardware and a testbed to evaluate system performance under realistic conditions. A modular architecture fulfilling the special requirements of phase-based ranging evaluations is proposed. The architecture can be deployed using diverse hardware to allow great flexibility in experiment designs. Further, we present a deployment of the testbed architecture based on off-the-shelf Single-Board Computers and our own wireless sensor node in our university building.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116604549","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250073
M. Schmidhammer, S. Sand, Mohammad H. Soliman, F. Müller
This paper proposes a novel road surveillance system for vehicular safety applications to improve the situation awareness of road users. The proposed surveillance system uses signals from vehicular communications infrastructure as illuminators of opportunity. Due to high accuracy requirements of safety applications, the optimal signal design for the surveillance system is discussed in detail. In this regard, the main design criteria is the accuracy of delay and Doppler estimation. Therefore, the Cramer-Rao lower bounds for the joint estimation of delay and Doppler are derived, which are used to evaluate the estimation performance. Together with a detailed geometrical discussion of a bistatic link, the constraints for the signal design are derived. Adopting a multi-carrier 5G localization waveform, this study parametrizes a flexible 5G signal for road surveillance. For an urban environment a parameter set is derived, which is shown to fully satisfy the delay estimation accuracy requirements. Furthermore, the estimation capabilities of bistatic links are evaluated geometrically, clearly identifying the areas allowing valid joint parameter estimation.
{"title":"5G signal design for road surveillance","authors":"M. Schmidhammer, S. Sand, Mohammad H. Soliman, F. Müller","doi":"10.1109/WPNC.2017.8250073","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250073","url":null,"abstract":"This paper proposes a novel road surveillance system for vehicular safety applications to improve the situation awareness of road users. The proposed surveillance system uses signals from vehicular communications infrastructure as illuminators of opportunity. Due to high accuracy requirements of safety applications, the optimal signal design for the surveillance system is discussed in detail. In this regard, the main design criteria is the accuracy of delay and Doppler estimation. Therefore, the Cramer-Rao lower bounds for the joint estimation of delay and Doppler are derived, which are used to evaluate the estimation performance. Together with a detailed geometrical discussion of a bistatic link, the constraints for the signal design are derived. Adopting a multi-carrier 5G localization waveform, this study parametrizes a flexible 5G signal for road surveillance. For an urban environment a parameter set is derived, which is shown to fully satisfy the delay estimation accuracy requirements. Furthermore, the estimation capabilities of bistatic links are evaluated geometrically, clearly identifying the areas allowing valid joint parameter estimation.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839017","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250053
Christian Schott, M. Padmanabha, Marko Rößler, Daniel Froß, U. Heinkel
This paper presents a method for including spatial environment information into a Particle Filter for position estimation. The proposed method is targeted for indoor and outdoor scenarios where distance measurements to static nodes of known position are basis for the localization. Such scenarios are likely in industrial and logistic applications where maps or 3-dimensional model data of the relevant playground are available. Those environmental information supplement the noisy measurements of positioning systems and could be directly evaluated by the position estimator. Two approaches, Axis Aligned Bounding Boxes (AABB) and point cloud have been evaluated in combination with a Particle Filter estimator in this work on the base of a high level simulation environment. Different use cases with varying motion trails have been simulated. The results show that including spatial environment data reduces the position error and thus positively influences the estimation quality. With this knowledge a previously published hardware implementation of a Particle Filter has been enhanced by spatial information analysis on register transfer level using an efficient pipeline structure. The resulting implementation maps on a ZYNQ 7000 SoC hardware/software platform that provides an accelerated low power solution for the position estimation.
{"title":"Position estimation with Bayesian filters by using 3-dimensional environment models","authors":"Christian Schott, M. Padmanabha, Marko Rößler, Daniel Froß, U. Heinkel","doi":"10.1109/WPNC.2017.8250053","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250053","url":null,"abstract":"This paper presents a method for including spatial environment information into a Particle Filter for position estimation. The proposed method is targeted for indoor and outdoor scenarios where distance measurements to static nodes of known position are basis for the localization. Such scenarios are likely in industrial and logistic applications where maps or 3-dimensional model data of the relevant playground are available. Those environmental information supplement the noisy measurements of positioning systems and could be directly evaluated by the position estimator. Two approaches, Axis Aligned Bounding Boxes (AABB) and point cloud have been evaluated in combination with a Particle Filter estimator in this work on the base of a high level simulation environment. Different use cases with varying motion trails have been simulated. The results show that including spatial environment data reduces the position error and thus positively influences the estimation quality. With this knowledge a previously published hardware implementation of a Particle Filter has been enhanced by spatial information analysis on register transfer level using an efficient pipeline structure. The resulting implementation maps on a ZYNQ 7000 SoC hardware/software platform that provides an accelerated low power solution for the position estimation.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129845541","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250058
Jimmy Maceraudi, F. Dehmas, B. Denis, B. Uguen
Despite the intrinsic temporal resolution of Impulse Radio — Ultra Wideband (IR-UWB) signals, specific low-power and low-complexity integrated receiver architectures devoted to long-range localization are still structurally subject to severe intra-channel interference caused by dense colliding multipath components (MPCs). In order to restore the MPC tracking potential of such receivers and hence ultimately, to improve MPC-aided localization, we propose to opportunistically combine channel estimations performed in multiple sub-bands, which were initially intended for multiple access. First, we develop two simplified 2-path models interpreting the local interference phenomena in terms of both dynamics and patterns frequency, while illustrating the expected benefits from combined multiband channel estimations. Then, we evaluate the capability to capture the energy of the various MPCs independently through realistic simulations based on IEEE 802.15.4a channel models. Finally, we use the proposed method to feed an MPC-based mobile tracking algorithm, specifically designed for generalized non-visibility situations (i.e., with respect to anchors). Other simulations then show that our proposal overcomes conventional pre-filtering methods in terms of final localization performances.
{"title":"Multi-band small-scale fading mitigation at UWB localization receivers in dense multipath channels","authors":"Jimmy Maceraudi, F. Dehmas, B. Denis, B. Uguen","doi":"10.1109/WPNC.2017.8250058","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250058","url":null,"abstract":"Despite the intrinsic temporal resolution of Impulse Radio — Ultra Wideband (IR-UWB) signals, specific low-power and low-complexity integrated receiver architectures devoted to long-range localization are still structurally subject to severe intra-channel interference caused by dense colliding multipath components (MPCs). In order to restore the MPC tracking potential of such receivers and hence ultimately, to improve MPC-aided localization, we propose to opportunistically combine channel estimations performed in multiple sub-bands, which were initially intended for multiple access. First, we develop two simplified 2-path models interpreting the local interference phenomena in terms of both dynamics and patterns frequency, while illustrating the expected benefits from combined multiband channel estimations. Then, we evaluate the capability to capture the energy of the various MPCs independently through realistic simulations based on IEEE 802.15.4a channel models. Finally, we use the proposed method to feed an MPC-based mobile tracking algorithm, specifically designed for generalized non-visibility situations (i.e., with respect to anchors). Other simulations then show that our proposal overcomes conventional pre-filtering methods in terms of final localization performances.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128135439","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250076
R. Diamant, Roberto Francescon, M. Zorzi
In this paper, we focus on the problem of locating a diver-in-distress using graph localization tools. Without GPS reception while being submerged, a diver cannot report on his location and upon distress can only rely on help from fellow divers by sending periodic SOS messages using underwater acoustic communication. In areas where many obstacles exist like harbors or shallow reefs, these SOS messages may not reach all the divers in place, and thus localization through triangulation is not guaranteed. Instead, we gather information of the propagation delay between the divers and use graph localization tools to allow a distributed evaluation of the location of the SOS source by an assisting diver. Considering the need to fastly propagate the SOS information, we flood the SOS packet while piggybacking propagation delay information across the divers' network. To combat the expected packet collisions, we evaluate the propagation delays by identifying the times collisions occur. When the assisting diver forms the graph of the propagation delays between the divers, he is able to estimate the location of the SOS source relative to his own using only a single anchor position. Numerical results as well as a proof-of-concept test in a water tank show a relative localization accuracy on the order of a few tens of meters, which is beneficial for quickly locate the diver-in-distress.
{"title":"A graph localization approach to assist a diver-in-distress","authors":"R. Diamant, Roberto Francescon, M. Zorzi","doi":"10.1109/WPNC.2017.8250076","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250076","url":null,"abstract":"In this paper, we focus on the problem of locating a diver-in-distress using graph localization tools. Without GPS reception while being submerged, a diver cannot report on his location and upon distress can only rely on help from fellow divers by sending periodic SOS messages using underwater acoustic communication. In areas where many obstacles exist like harbors or shallow reefs, these SOS messages may not reach all the divers in place, and thus localization through triangulation is not guaranteed. Instead, we gather information of the propagation delay between the divers and use graph localization tools to allow a distributed evaluation of the location of the SOS source by an assisting diver. Considering the need to fastly propagate the SOS information, we flood the SOS packet while piggybacking propagation delay information across the divers' network. To combat the expected packet collisions, we evaluate the propagation delays by identifying the times collisions occur. When the assisting diver forms the graph of the propagation delays between the divers, he is able to estimate the location of the SOS source relative to his own using only a single anchor position. Numerical results as well as a proof-of-concept test in a water tank show a relative localization accuracy on the order of a few tens of meters, which is beneficial for quickly locate the diver-in-distress.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116326594","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250048
Ugur Bolad, Mehmet Akcakoca
Tracking a pedestrian with a smartphone accurately and in real-time remains a challenging topic in Indoor Positioning Systems. The current computing power of a smartphone is such that it can handle data-intensive applications reasonably well. Additionally, many technologies such as Wi-Fi, Bluetooth, and inertial sensors are already available so no extra hardware cost is needed. However, cost-effective ICs are prone to produce erroneous measurements, resulting in faulty localizations. For instance, Radio Frequency based applications like Wi-Fi and Bluetooth provide accuracy up to 2–3 meters but it requires a lot of effort to maintain the system due to dynamic characteristics of an indoor setting. Additionally, Wi-Fi and Bluetooth ICs in smartphones are usually slow to complete a single scan, which introduces further difficulties when designing real-time tracking applications. Another solution is to use Inertial Measurement Unit (IMU) in a smartphone but accumulative errors due to sensor measurements still remain a problem. In this paper, a hybrid solution is proposed through the exploitation of the unique characteristics of existing technologies and compensating each other's drawbacks. Wi-Fi Fingerprinting is implemented to perform localization when a position of the pedestrian is completely unknown. After narrowing down with the Wi-Fi positioning results, a particle filter, powered by Magnetic Field Fingerprints, is utilized to provide a maintainable and accurate tracking system. Feasibility of the proposed method is demonstrated in an indoor positioning case, where a smartphone device is used throughout the experiment.
{"title":"A hybrid indoor positioning solution based on Wi-Fi, magnetic field, and inertial navigation","authors":"Ugur Bolad, Mehmet Akcakoca","doi":"10.1109/WPNC.2017.8250048","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250048","url":null,"abstract":"Tracking a pedestrian with a smartphone accurately and in real-time remains a challenging topic in Indoor Positioning Systems. The current computing power of a smartphone is such that it can handle data-intensive applications reasonably well. Additionally, many technologies such as Wi-Fi, Bluetooth, and inertial sensors are already available so no extra hardware cost is needed. However, cost-effective ICs are prone to produce erroneous measurements, resulting in faulty localizations. For instance, Radio Frequency based applications like Wi-Fi and Bluetooth provide accuracy up to 2–3 meters but it requires a lot of effort to maintain the system due to dynamic characteristics of an indoor setting. Additionally, Wi-Fi and Bluetooth ICs in smartphones are usually slow to complete a single scan, which introduces further difficulties when designing real-time tracking applications. Another solution is to use Inertial Measurement Unit (IMU) in a smartphone but accumulative errors due to sensor measurements still remain a problem. In this paper, a hybrid solution is proposed through the exploitation of the unique characteristics of existing technologies and compensating each other's drawbacks. Wi-Fi Fingerprinting is implemented to perform localization when a position of the pedestrian is completely unknown. After narrowing down with the Wi-Fi positioning results, a particle filter, powered by Magnetic Field Fingerprints, is utilized to provide a maintainable and accurate tracking system. Feasibility of the proposed method is demonstrated in an indoor positioning case, where a smartphone device is used throughout the experiment.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129529469","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 : 2017-10-01DOI: 10.1109/WPNC.2017.8250070
J. A. del Peral-Rosado, M. A. Barreto-Arboleda, F. Zanier, G. Seco-Granados, J. López-Salcedo
Emerging vehicle-to-infrastructure (V2I) cellular networks are specially attractive for vehicular localization, in order to fulfil the stringent location requirements posed by autonomous and assisted driving applications. This work assesses the ultimate capabilities of fourth generation (4G) cellular technologies for vehicular navigation, so it can be applicable for current Long Term Evolution (LTE) deployments as predecessors of fifth generation (5G) technologies. Our results show the performance limits of V2I ranging localization with current 4G networks in highway scenarios. They indicate the need to use the maximum LTE bandwidth of 100 MHz with dedicated networks, in order to ensure target position accuracies below 1 meter.
{"title":"Performance limits of V2I ranging localization with LTE networks","authors":"J. A. del Peral-Rosado, M. A. Barreto-Arboleda, F. Zanier, G. Seco-Granados, J. López-Salcedo","doi":"10.1109/WPNC.2017.8250070","DOIUrl":"https://doi.org/10.1109/WPNC.2017.8250070","url":null,"abstract":"Emerging vehicle-to-infrastructure (V2I) cellular networks are specially attractive for vehicular localization, in order to fulfil the stringent location requirements posed by autonomous and assisted driving applications. This work assesses the ultimate capabilities of fourth generation (4G) cellular technologies for vehicular navigation, so it can be applicable for current Long Term Evolution (LTE) deployments as predecessors of fifth generation (5G) technologies. Our results show the performance limits of V2I ranging localization with current 4G networks in highway scenarios. They indicate the need to use the maximum LTE bandwidth of 100 MHz with dedicated networks, in order to ensure target position accuracies below 1 meter.","PeriodicalId":246107,"journal":{"name":"2017 14th Workshop on Positioning, Navigation and Communications (WPNC)","volume":"59 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285465","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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