ELLIIT LU P08: Local Positioning Systems
During 2016, we will among other things work further on new roundtrip time measurements that will come as a standard in future wifi. We have access to such equipment and drivers so that we can experiment with this new technology. We will also integrate techniques developed during the first years of ELLIIT, so that they can be tested for different use cases such as human indoor navigation and for autonomous navigation.
• Joint positioning and radio channel estimation/prediction. We see interesting potentials of using advanced positioning techniques for improving radio channel prediction for MIMO systems. The work ranges from theoretical analysis of fundamental limits for estimation performance using noisy IMU sensors and radio receivers as well as to design of practical fusion algorithms and experimental evaluation. Estimation of timeof- arrival and received signal strength measurements and covariance estimates from radio channel estimates.
• Cellular phase based positioning. In cellular systems the bandwidth is usually confined to 20-40 MHz. In order to get accurate positioning, well below 1 m, in such systems it is necessary to utilize all the information carried by the radio signal, including its phase, information from the reflections, and possibly information about the environment. We will study phase based approaches for highly accurate cellular positioning, with the aim of achieving cm level positioning accuracy using only moderate bandwidths.
• Joint estimation of room geometry, microphone positioning and sound source positioning. We have previously developed efficient solvers for several so called minimal problems. There is now potential in developing robust algorithms for joint estimation of room geometry, microphone calibration and sound source positioning. Work here ranges from theoretical work on minimal problems with missing data to system development and testing. This could be used to develop cheap and simple indoor positioning systems that could be used for autonomous vehicle positioning and navigation.
Kalle Åström, Jacek Malec, Stefan Larsson, Mattias Ohlsson, Christian Balkenius, Anamaria Dutceac Segesten, Jutta Haider, Robert Willim, Jonas Ledendal, Sonja Aits, Maria Hedlund, Jonas Wisbrant, Einar Heiberg, Elin Anna Topp, Jörn Janneck, Marcus Klang, Ingar Brinck & Olof Sundin
2018/01/01 → …
Project: Network › Interdisciplinary research, Internal collaboration (LU)