Abstract: A localization server improves position estimates of global navigation satellite systems (GNSS) using probabilistic shadow matching and pseudorange matching is disclosed herein. The localization server may utilize one or more of the following information: the locations of the satellites, the GNSS receiver's location estimate and associated estimated uncertainty, the reported pseudoranges of the satellites, the GNSS estimated clock bias, the SNRs of the satellites, and 3D environment information regarding the location of the receiver. The localization server utilizes a Bayesian framework to calculate an improved location estimate using the GNSS location fixes, pseudorange information, and satellite SNRs thereby improving localization and tracking for a user device.

Abstract: A method of determining location of a user device includes receiving global navigation satellite system (GNSS) fix data that represents GNSS calculated position of the user device, receiving signal strength data associated with each satellite communicating with the user device, and receiving satellite data regarding locations of satellites. The method further includes retrieving satellite blocking values from a cache that describe a likelihood of a satellite signal being blocked at a plurality of possible locations. A non-linear filter, implemented by one or more processors, is applied to the GNSS fix data, signal strength data, and satellite blocking values to generate an updated position estimate of the user device.

Abstract: A localization server improves position estimates of global navigation satellite systems (GNSS) using probabilistic shadow matching and pseudorange matching is disclosed herein. The localization server may utilize one or more of the following information: the locations of the satellites, the GNSS receiver's location estimate and associated estimated uncertainty, the reported pseudoranges of the satellites, the GNSS estimated clock bias, the SNRs of the satellites, and 3D environment information regarding the location of the receiver. The localization server utilizes a Bayesian framework to calculate an improved location estimate using the GNSS location fixes, pseudorange information, and satellite SNRs thereby improving localization and tracking for a user device.

Abstract: A method of determining location of a user device includes receiving global navigation satellite system (GNSS) fix data that represents GNSS calculated position of the user device. The method further includes receiving signal strength data associated with each satellite communicating with the user device, and receiving map information regarding environment surrounding the user device. The received GNSS fix data and signal strength data is provided to a non-linear filter, wherein the non-linear filter fuses the GNSS fix data and signal strength data to generate an updated position estimate of the user device. In addition, the non-linear filter utilizes probabilistic shadow matching estimates that represent a likelihood of received signal strength data as a function of hypothesized user device locations within the environment described by the received map information.

Abstract: Systems, methods, and instrumentalities are disclosed to provide antenna transmit diversity. A wireless transmit/receiver unit (WTRU) may comprise multiple antennas. A channel condition for each of the antennas may be determined. A probing phase may be used in order to determine the channel conditions. During a period of the probing phase, a probing signal from each antenna may be transmitted during a respective time interval. The WTRU transmit power may or may not be held constant. A Node B may receive each probing signal and determine channel quality information. The Node B may adjust the determined channel quality information if there is a power offset between the signals. The Node B may send the channel quality information to the WTRU. The WTRU may switch an antenna to use for uplink transmission based on the received channel quality information.