Abstract: The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.

Abstract: Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.

Abstract: Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

Abstract: A method for determining proximity comprises sending a wireless signal from a first mobile tag (120a) of a plurality of mobile tags (120), the wireless signal communicating identification information associated with the first mobile tag (120a). The wireless signal is received at a second mobile tag (120b) of the plurality of mobile tags (120), and proximity data comprising the identification information is stored in a memory (127b) of the second mobile tag (120b). The proximity data is sent from the second mobile tag (120b) to a mobile communication device (110) using a first wireless protocol, is received at a mobile communication device (110), and is stored in a memory (117) of the mobile communication device (110). The proximity data is sent from the mobile communication device (110) to a server (130) using a second wireless protocol, and the proximity data is stored in a memory (137) of the server (130).

Abstract: The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.

Abstract: Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.

Abstract: A positioning system comprising a processing system (7; 9) configured to receive a first position estimate for a mobile device (7), and to receive data representative of an acoustic signal received by the mobile device (7) from one of a plurality of acoustic transmitter units (2, 3, 4, 5). For each of the acoustic transmitter units (2, 3, 4, 5), the processing system (7; 9) determines spatial likelihood data representative of a likelihood of the received acoustic signal having been transmitted by the respective acoustic transmitter unit by comparing a time-of-flight range value with a geometric distance value, representative of a distance between the acoustic transmitter unit and the first position estimate.

Abstract: In a positioning system, a plurality of transmitter units (2, 3, 4, 5) transmit respective locating signals which are received at a mobile receiver unit (7). A processing system (7; 9) identifies the transmitter unit that transmitted each locating signal, and determines, for each transmitter unit, range data representative of a respective distance between the transmitter unit and the mobile receiver unit. The processing system determines a position estimate for the mobile receiver unit (7) by solving an optimisation problem that depends on i) the range data determined for the plurality of transmitter units, ii) data representative of the positions of the plurality of transmitter units in an environment (1), and iii) data representative of a position of a surface (1a, 1b, 1c, 1d, 1e; 601, 602) in the environment, by optimising for an objective function comprising a cost term that depends on a distance between the surface and the position estimate.

Abstract: Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

Abstract: The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.

Abstract: Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.

Abstract: Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

Abstract: A system is provided for determining the position of a mobile receiver unit in an environment. The system comprises: a transmission apparatus comprising a plurality of ultrasound transmitters configured to transmit a plurality of ultrasonic signals in different respective principal directions, each encoding a different respective direction identifier; a mobile receiver unit comprising an ultrasound receiver configured to receive the plurality of ultrasonic signals along a plurality of signal paths, at least one of which includes a reflection off an environment surface; and a processing system comprising a decoder arranged to decode the respective direction identifiers from the received signals.

Abstract: The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.

Abstract: A system is provided for determining the position of a mobile receiver unit in an environment. The system comprises: a transmission apparatus comprising a plurality of ultrasound transmitters configured to transmit a plurality of ultrasonic signals in different respective principal directions, each encoding a different respective direction identifier; a mobile receiver unit comprising an ultrasound receiver configured to receive the plurality of ultrasonic signals along a plurality of signal paths, at least one of which includes a reflection off an environment surface; and a processing system comprising a decoder arranged to decode the respective direction identifiers from the received signals.

Abstract: Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

Abstract: The present disclosure relates to an acoustic position determination system that includes a mobile communication device and at least one base transmitter unit. The mobile communication device is configured to identify a peak in the received signal, and to de-convolve the signal with all codes that are relevant to the area in which the signal is received. A joint likelihood that a potential code is correct is formed by determining a likelihood based on a signal parameter such as signal-to-noise ratio and a likelihood based on time-of arrival information.

Abstract: Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.

Abstract: Systems and methods of estimating a location of a mobile computing device are provided. For instance, acoustic signals can be received from one or more transmitting devices associated with a real-time locating system. A set of peaks can be selected from the received acoustic signals. A first set of transmitter locations can be assigned to the selected set of peaks. The first set of transmitter locations can be specified by an acoustic model specifying a plurality of transmitter locations within an acoustic environment in which the one or more transmitting devices are located. A first model path trace associated with the first set of transmitter locations can be compared to the received acoustic signals. A location of the mobile computing device can be estimated based at least in part on the comparison.

Abstract: Systems and methods of determining a location of a mobile computing device associated with a real-time locating system are provided. For instance, a mobile computing device can determine a first location of the mobile computing device. The mobile computing device can then receive acoustic-contextual data that is correlated with the first location of the mobile computing device. The acoustic-contextual data can include data associated with one or more transmitting devices, and data associated with an environment proximate the one or more transmitting devices. The mobile computing device can receive one or more signals from at least one of the one or more transmitting devices, and can determine a more accurate second location of the mobile computing device based at least in part on the acoustic-contextual data and the one or more received signals.