Title: | Localization and Mapping in Wireless Networks: Models and Algorithms |
Author(s): | Naseri, Hassan |
Date: | 2018 |
Language: | en |
Pages: | 134 + app. 80 |
Department: | Signaalinkäsittelyn ja akustiikan laitos Department of Signal Processing and Acoustics |
ISBN: | 978-952-60-7914-1 (electronic) 978-952-60-7913-4 (printed) |
Series: | Aalto University publication series DOCTORAL DISSERTATIONS, 55/2018 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Koivunen, Visa, Prof., Aalto University, Department of Signal Processing and Acoustics, Finland |
Thesis advisor(s): | Koivunen, Visa, Prof., Aalto University, Department of Signal Processing and Acoustics, Finland |
Subject: | Electrical engineering, Telecommunications engineering |
Keywords: | localization, indoor mapping, cooperation, synchronization, SLAM |
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Abstract:In recent years, location-based services (LBS) have become a key component of wireless technology. A large variety of radio-based localization systems, such as the Global Positioning System (GPS), have been developed during last decades. However, satellite-based or cellular systems may have limited availability and reduced accuracy in indoor and dense urban environments. This is partly due to propagation effects such as multipath reflections and scattering of radio signals in such environments. Indoor localization has many important applications such as first responders, tracking and navigation in airports and shopping malls, surveillance, and robotics. The performance of wireless localization, especially in indoor environments, can be improved by cooperation among the network nodes, combining different sensing modalities, and exploiting multipath propagation of radio signals. In this thesis, the problem of cooperative network localization with different sensing approaches is studied. The employed sensing methods are pairwise distance estimation, hybrid distance and direction estimation, and multipath distance estimation. Novel problem formulations for cooperative localization are introduced and optimal algorithms are derived. Algorithms for high resolution distance and direction estimation, and network clock synchronization are also developed in order to support the proposed localization methods. High accuracy is facilitated by the broad bandwidth of wireless signals as well as the use of multiantenna transceivers in most current and emerging wireless systems. The proposed algorithms provide improved reliability and accuracy in comparison to the state-of-the art techniques.
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Parts:[Publication 1]: Hassan Naseri, Mario Costa, Visa koivunen, A generalized formulation for harmonic retrieval in correlated noise, 2014 48th Annual Conference in Information Sciences and Systems, (CISS 2014), Princeton, USA. DOI: 10.1109/CISS.2014.6814179 View at Publisher [Publication 2]: Hassan Naseri, Jussi Salmi, Visa Koivunen, Synchronization and ranging by scheduled broadcasting, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013 DOI: 10.1109/ICASSP.2013.6638588 View at Publisher [Publication 3]: Hassan Naseri, Visa koivunen, Cooperative joint synchronization and localization using time delay measurements, in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Sanghai, China 2013, DOI: 10.1109/ICASSP.2016.7472257 View at Publisher [Publication 4]: Hassan Naseri, Visa Koivunen, A Bayesian algorithm for distributed network localization using distance and direction data, submitted to the IEEE Transactions on Signal and Information Processing over Networks, 2018[Publication 5]: Hassan Naseri, Mário Costa, Visa Koivunen, Multipath-aided cooperative network localization using convex optimization, in 2014 48th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, USA, DOI: 10.1109/ACSSC.2014.7094716 View at Publisher [Publication 6]: Hassan Naseri, Visa Koivunen, Indoor mapping based on time delay estimation in wireless networks, in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, DOI: 10.1109/ICASSP.2015.7178406 View at Publisher [Publication 7]: Hassan Naseri, Jussi Salmi, Visa Koivunen, Indoor Mappinmg Using MIMO Radio Channel Measurements, International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017) New Orleans, USA, DOI: 10.1109/ICASSP.2017.7952771 View at Publisher [Publication 8]: Hassan Naseri, Visa Koivunen, Cooperative Simultaneous Localization and Mapping by Exploiting Multipath Propagation, IEEE Transactions on Signal Processing, 2017, 65, 1, pp. 200-211, DOI: 10.1109/TSP.2016.2616324 View at Publisher [Errata file]: Errata publ. 3, p.3; publ. 5, p.9; publ. 6, p.3 |
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