Arash Shahmansoori, Rafael Montalban, J. López-Salcedo, G. Seco-Granados
{"title":"Design of OFDM sequences for joint communications and positioning based on the asymptotic expected CRB","authors":"Arash Shahmansoori, Rafael Montalban, J. López-Salcedo, G. Seco-Granados","doi":"10.1109/ICL-GNSS.2014.6934168","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2014.6934168","url":null,"abstract":"A key aspect to design an OFDM system for combined positioning and high-data-rate communications is to find optimal data and pilot power allocations. Previously, A capacity maximizing design by taking into account the effects of channel and time-delay estimation for finite number of subcarriers and channel taps has been investigated. Increasing the number of subcarriers and channel taps make the matrix inversions in the non-asymptotic bounds close to singular or badly conditioned. Furthermore, computational complexity of such a system designed by non-asymptotic bounds grows significantly. In this paper, a method based on the asymptotic expected Cramér-Rao bound of joint time-delay and channel coefficients by increasing the number of subcarriers and channel taps has been proposed. The method reduces the complexity of the design considerably. Specifically, by increasing the number of channel taps the number of operations to compute matrix inversions is significantly reduced by asymptotic bounds. Numerical results show that as the number of subcarriers increases, the asymptotic bounds converge to the non-asymptotic bounds. Moreover, even for a finite number of subcarriers or channel taps the difference between joint data and pilot power allocations is negligible compared to the non-asymptotic expected Cramér-Rao bounds.","PeriodicalId":348921,"journal":{"name":"International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127054931","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}
{"title":"An efficient grid-based RF fingerprint positioning algorithm for user location estimation in heterogeneous small cell networks","authors":"Riaz Mondal, J. Turkka, T. Ristaniemi","doi":"10.1109/ICL-GNSS.2014.6934169","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2014.6934169","url":null,"abstract":"This paper proposes a novel technique to enhance the performance of grid-based Radio Frequency (RF) fingerprint position estimation framework. First enhancement is an introduction of two overlapping grids of training signatures. As the second enhancement, the location of the testing signature is estimated to be a weighted geometric center of a set of nearest grid units whereas in a traditional grid-based RF fingerprinting only the center point of the nearest grid unit is used for determining the user location. By using the weighting-based location estimation, the accuracy of the location estimation can be improved. The performance evaluation of the enhanced RF fingerprinting algorithm was conducted by analyzing the positioning accuracy of the RF fingerprint signatures obtained from a dynamic system simulation in a heterogeneous LTE small cell environment. The performance evaluation indicates that if the interpolation is based on two nearest grid units, then a maximum of 18.8% improvement in positioning accuracy can be achieved over the conventional approach.","PeriodicalId":348921,"journal":{"name":"International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125737126","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}
{"title":"Performance improvement of connectivity-based localization using iterative learning","authors":"N. Maung, M. Kawai","doi":"10.1109/ICL-GNSS.2014.6934177","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2014.6934177","url":null,"abstract":"Resource constraints of wireless ad-hoc and senior networks prohibit range-based localization schemes which squire specialized hardware for high location accuracy. On he other hand, cost effective range-free schemes which depend only on connectivity information offer lower accuracy and grant heir applicability only to large-scale networks. This paper propose an efficient localization scheme which applies received signal strength (RSS) measurements to improve the localization accuracy of range-free schemes without any extra hardware support and to solve the applicability problem. Locations of the lodes are estimated with the proposed iterative location learning algorithm which utilizes both connectivity information and RSS-based distance information between the nodes to get more precise location estimation. To make our proposed scheme applicable or both small and large scale networks, we configure the connectivity information using the available RSS measurements and a predefined RSS threshold. Optimal RSS threshold value that minimizes the error for a particular network to be localized is derived as a function of the total number of nodes and the network size. The accuracy of the proposed scheme is further improved by introducing the use of regulated hop-count values. Experimental results show that our proposed scheme significantly improves the localization accuracy and works well under different network configurations.","PeriodicalId":348921,"journal":{"name":"International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)","volume":"507 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133088052","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}
M. Kirkko-Jaakkola, J. Saarimaki, Stefan Söderholm, R. Guinness, L. Ruotsalainen, H. Kuusniemi, H. Koivula, Tuukka Mattila, S. Nyberg
{"title":"P3: A Public Precise Positioning Service based on a national GNSS network","authors":"M. Kirkko-Jaakkola, J. Saarimaki, Stefan Söderholm, R. Guinness, L. Ruotsalainen, H. Kuusniemi, H. Koivula, Tuukka Mattila, S. Nyberg","doi":"10.1109/ICL-GNSS.2014.6934161","DOIUrl":"https://doi.org/10.1109/ICL-GNSS.2014.6934161","url":null,"abstract":"In this article we present the P3 (Public Precise Positioning) Service project where network GNSS data are combined with a consumer-grade receiver. P3 utilizes the Finnish national FinnRef GNSS network which is operated by the Finnish government and available free of charge to the general public. The project investigates the use of network real-time kinematics (RTK) and real-time precise point positioning (PPP) techniques in order to achieve a horizontal positioning accuracy better than 0.5 meters using a low-cost GNSS receiver. An online survey was conducted to identify potential users and applications of the service, and initial positioning results presented in the paper support the feasibility of the goal.","PeriodicalId":348921,"journal":{"name":"International Conference on Localization and GNSS 2014 (ICL-GNSS 2014)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123453114","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}