It is presented a method for detecting potential displacement of a wireless transceiver connected to a machine-to-machine device. The method comprises the steps, executed in a displacement detection server, of: receiving an updated radio environment message from the wireless transceiver, the radio environment message comprising updated radio characteristics of at least two radio cells, the updated characteristics being measured by the wireless transceiver; determining whether the updated radio characteristics differ significantly from previous radio characteristics of a previous radio environment message from the wireless transceiver; and when it is determined that radio characteristics differ significantly, sending a displacement indication message to a device management server, the displacement indication message indicating potential displacement of the wireless transceiver. Corresponding displacement detection server, host device, computer program and computer program product are also presented.

The positioning system includes a first module that acquires information for calculating the positional relationship between a first oscillating body and a target, a second module that acquires information for calculating the positional relationship between the first oscillating body and the target with higher accuracy than the first module, and a first computing device. When the first communication device provided in the second module and the second communication device attached to the target are not within a direct communication range, the first computing device calculates the positional relationship between the first oscillating body and the target using information acquired by the first module. When the first communication device and the second communication device are within a range where they can directly communicate, the first computing device calculates the positional relationship between the first oscillating body and the target using information acquired by the second module.

Techniques for improved localization and ranging with reduced resource consumption are provided. At a first time, first movement information for a client device is determined. Based on the first movement information, a first set of localization parameters is selected. One or more localization techniques are performed in accordance with the first set of localization parameters. At a second time, second movement information for the client device is determined. Based on the second movement information, a second set of localization parameters is selected. One or more localization techniques are performed in accordance with the second set of localization parameters.

Methods and apparatus for processing and using signals transmitted by a device, e.g., a low cost beacon transmitter device, to facilitate making location determinations with regard to the transmitting device and/or making a decision of when or how to use location information generated based on received signals are described. In accordance with some features the processing performed on the received signal strength measurements is based on whether or not the device from which the signals are received is in motion. The size of a sample period used as a processing window when determining device location is based, in some embodiments, on the rate of motion. When and/or how to use location determinations are performed is also based on motion in some embodiments. Machine learning updates of location determination parameters, based on received signals, are disabled when the signals are from devices determined to be in motion.

In a general aspect, a set of observed frequency-domain channel responses is filtered to remove noise or distortions that are not related to changes in the physical environment. In some aspects, for each frequency-domain channel response, a time-domain channel response is generated based on the frequency-domain channel response; and a filtered time-domain channel response is generated based on a constraint applied to the time-domain channel response. Additionally, a reconstructed frequency-domain channel response is generated based on the filtered time-domain channel response. An error signal is also generated, and a determination is made as to whether the error signal satisfies a criterion. The error signal can be indicative of a difference between the frequency-domain channel response and the reconstructed frequency-domain channel response. In response to each of the error signals satisfying the criterion, motion of an object in a space is detected based on the set of frequency-domain channel responses.

A vehicle positioning method includes obtaining satellite filtering parameters and satellite data, the satellite data comprising at least one of (i) a pseudo range observation value or (ii) a Doppler observation value indicating a Doppler effect. The method further includes determining a first parameter correction amount corresponding to the vehicle at a first time point to obtain positioning information of the vehicle at the first time point. The method further includes determining a second parameter correction amount corresponding to the vehicle at the second time point according to a constraint matrix corresponding to the motion state of the vehicle, and obtaining positioning information of the vehicle at the second time point by modifying the positioning information at the first time point using the second parameter correction amount.

A method of determining a two-dimensional position of a moving wireless device is provided. The method comprises obtaining, for each of three or more base stations, one or more measurements of a carrier frequency offset for one or more signals sent between the moving wireless device and the respective base stations. The method further comprises inputting the carrier frequency offset measurements into a model to determine a two-dimensional position of the moving wireless device, in which inputs to the model do not include range measurements for the moving wireless device with respect to the three or more base stations.

A system for providing real-time always-on location is presented for maintaining the current location of a mobile device, while saving the battery by managing the GPS in a power-saving mode while the device is considered to be stationary. The system also provides a real-time location in an indoor environment where a GPS signal may not be available. Additionally, methods for driving detection are also presented.

A method of determining the position of a moving unmanned aerial vehicle (UAV) is provided. The method comprises obtaining, for each of three or more base stations, one or more measurements of a carrier frequency offset (CFO) for one or more signals sent between a moving UAV and the respective base station. The method further comprises inputting the CFO measurements into a model to determine a position of the UAV, in which inputs to the model do not include range measurements of the UAV with respect to the three or more base stations.

A method and tracker for determining the location of an object, such as a parcel or luggage. The tracker periodically transmits a wireless access point beacon comprising SSID (network name) and a MAC address, in accordance with an IEEE 802.11 standard, has a power storage device, and an energy harvesting module. A server monitors data from 3rd party mobile devices regarding the locations of wifi beacons, and the user is informed of the relevant location if the beacon of the tracker is uploaded to the server. When the tracker is moved and/or it comes into range of one of the wireless portable devices, the user is informed of its location. This enables indefinite tracking especially in urban areas, worldwide.