公开(公告)号：US20200337017A1

公开(公告)日：2020-10-22

申请号：US16919762

申请日：2020-07-02

Applicant: Mist Systems, Inc.

Inventor： Nagarjun Srinivasan ,  Neal Dante Castagnoli

IPC: H04W64/00 ,  H04B17/318 ,  H04W4/02 ,  G06N20/00

Abstract: Disclosed are methods and systems for estimating a location of a wireless device. In some embodiments, received signal strength indication (RSSI) values of signals from a first wireless device are determined. A rate of motion of the first wireless device is then determined based on a rate at which the RSSI values vary with time. A machine learning model is conditionally updated based on the determined rate of motion, and path loss parameters are then derived from the machine learning model. The path loss parameters are used to estimate the location of the first wireless device.

公开(公告)号：US20200029295A1

公开(公告)日：2020-01-23

申请号：US16147327

申请日：2018-09-28

Applicant: Mist Systems, Inc.

Inventor： Nagarjun Srinivasan

IPC: H04W64/00 ,  H04W4/02 ,  H04B17/318 ,  G06F15/18

Abstract: 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.

公开(公告)号：US10764858B2

公开(公告)日：2020-09-01

申请号：US16147327

申请日：2018-09-28

Applicant: Mist Systems, Inc.

Inventor： Nagarjun Srinivasan ,  Neal Dante Castagnoli

IPC: H04W64/00 ,  G06N20/00 ,  H04W4/02 ,  H04B17/318 ,  G01S5/02 ,  H04B17/27

Abstract: 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.

公开(公告)号：US10986606B2

公开(公告)日：2021-04-20

申请号：US16919762

申请日：2020-07-02

Applicant: Mist Systems, Inc.

Inventor： Nagarjun Srinivasan ,  Neal Dante Castagnoli

IPC: H04W64/00 ,  H04W4/02 ,  G06N20/00 ,  H04B17/318 ,  H04B17/27

Abstract: Disclosed are methods and systems for estimating a location of a wireless device. In some embodiments, received signal strength indication (RSSI) values of signals from a first wireless device are determined. A rate of motion of the first wireless device is then determined based on a rate at which the RSSI values vary with time. A machine learning model is conditionally updated based on the determined rate of motion, and path loss parameters are then derived from the machine learning model. The path loss parameters are used to estimate the location of the first wireless device.