Systems and methods of using a robot to train the system for motion detection are provided. A simple robot can be put in a room and programmed not to move except in accordance with specific programmed command. Such commands may be sent to the robot regarding movement(s) at a certain rate than could be seen in the response to a channel. A data set may be built over time, where the robot may be programmed to move such that the robot does change at specific times in duration and amount. Such robot motion may also be iterated. The algorithm records the impulse response changes associated with the robot changes and a database may be built based on such recorded and associated changes.

Systems and methods for time domain channel representation information for Wi-Fi sensing. Wi-Fi sensing systems include sensing devices and remote devices configured to communicate through radio-frequency signals. Initially, a sensing device receives a channel representation information configuration representative of channel state information in time domain. The sensing device then receives a sensing transmission and generates a sensing measurement based on the sensing transmission. Thereafter, the sensing device generates a time domain representation of the sensing measurement and selects one or more time domain pulses indicative of the time domain representation based on the channel representation information configuration. The sensing device communicates the one or more time domain pulses to a sensing algorithm manager for use in determining motion or movement.

A method of passive sensor tracking includes using a Wi-Fi access point that transmits a management frame comprising sensor data of a sensor as part of Wi-Fi wireless network discovery, associating unique identifying information of the Wi-Fi access point with a sensor in a sensor tracking database, receiving observation data of the Wi-Fi access point from a Wi-Fi AP Database, the observation data including the unique identifying information of the Wi-Fi access point and the sensor data of the sensor, and storing the sensor data in the sensor tracking database. The Wi-Fi AP Database receives one or more reports comprising observation data from one or more wireless devices that encounter the Wi-Fi access point.

Methods and systems are for managing congestion in a network of devices are disclosed. A method may comprise identifying one or more battery-operated devices. A signal-to-noise ratio (SNR) and a signal-to-interference ratio (SIR) for each battery-operated device may be determined. Based on the SNR and SIR of each battery-operated device, a battery loss using clear channel assessment (CCA) and a battery savings using CCA may be determined. A total battery savings may be compared to a total battery loss to determine that the total battery savings is greater than the total battery loss. Based on the determination that the total battery savings is greater than the total battery loss, a noise may be generated to block transmission from the one or more battery-operated devices.

A communication device comprising: a wireless communication section; and a control section configured to correlate a first signal with a second signal from another communication device at a designated interval, convert a data matrix including an array of a plurality of correlation computation results into a format including a matrix product of an expanded modal matrix and an expanded signal matrix, estimate the expanded signal matrix that minimizes a predetermined norm, and estimate reception time of the second signal on a basis of the expanded signal matrix that minimizes the predetermined norm.

Systems, methods, and non-transitory computer-readable medium can receive a plurality of localization requests from a plurality of devices, each of the plurality of localization requests comprising sensor data captured by one or more sensors of the plurality of devices. Localization data can be sent to each device of the plurality of devices in response to receiving the plurality of localization requests. A plurality of pose data can be received from a first device and a second device of the plurality of devices. The plurality of pose data can include a position and orientation for each of the first and second devices based on the sensor data and the received localization data. At least one received pose data of the plurality of received pose data can be sent to at least the first device of the plurality of devices. The first device of the plurality of devices can be operable to determine a relative location of the second device in relation to the first device based on the at least one received pose data of the second device.

Three-dimensional (3D) maps may be generated for different areas based on scans of the areas using sensor(s) of a mobile computing device. During each scan, locations of the mobile computing device can be measured relative to a fixed-positioned smart device using ultra-wideband communication (UWB). The 3D maps for the areas may be registered to the fixed position (i.e., anchor position) of the smart device based on the location measurements acquired during the scan so that the 3D maps can be merged into a combined 3D map. The combined (i.e., merged) 3D map may then be used to facilitate location-specific operation of the mobile computing device or other smart device.

Systems and methods for time domain channel representation information for Wi-Fi sensing. Wi-Fi sensing systems include sensing devices and remote devices configured to communicate through radio-frequency signals. Initially, a sensing device receives a channel representation information configuration representative of channel state information in time domain. The sensing device then receives a sensing transmission and generates a sensing measurement based on the sensing transmission. Thereafter, the sensing device generates a time domain representation of the sensing measurement and selects one or more time domain pulses indicative of the time domain representation based on the channel representation information configuration. The sensing device communicates the one or more time domain pulses to a sensing algorithm manager for use in determining motion or movement.

A method includes receiving a first instance of code to be simulated for a first mobile device and a second instance of code to be simulated for a second mobile device, and generating, on a graphical user interface, a first representation of the first mobile device and a second representation of the second mobile device. When a request for a ranging measurement between the mobile device representations is received, a first pixel representative of a first location of the first representation and a second pixel representative of a second location of the second representation is determined, and a separation value between the first and second pixels is determined. A ranging value is determined based on the separation value and provided to the first instance of code in response to the request, thereby enabling the first instance of code to simulate a physical ranging measurement between two physical devices.

Embodiments described herein provide for system and methods to crowdsource the location of wireless devices and accessories that lack a connection to a wide area network. One embodiment provides for a data processing system configured to perform operations comprising loading a user interface on an electronic device, the user interface to enable the determination of a location of a wireless accessory that is associated with the electronic device, generating a set of public keys included within a signal broadcast by the wireless accessory, the signal broadcast during a first period, sending the set of public keys to a server with a request to return data that corresponds with a public key in the set of public keys, decrypting the location data using a private key associated with the public key, and processing the location data to determine a probable location for the wireless accessory.