In a general aspect, a method is presented for detecting a location of motion using wireless signals that propagate along two or more paths of a wireless communication channel. The method includes storing a set of eigenvectors derived from first motion-sensing data associated with a first time frame. The first motion-sensing data is associated with a first motion-sensing topology of a wireless mesh network. The method also includes obtaining a motion vector based on wireless signals transmitted between access point nodes in the wireless mesh network during a second, subsequent time frame. The wireless mesh network operates in a second, distinct motion-sensing topology during the second time frame. The motion vector is compared with the respective eigen vectors, and a probability vector is generated based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.

This disclosure provides systems through which a wireless access point (AP) can determine the location of a client device with a high degree of accuracy. The AP uses CIR measurements for a plurality of directional beams used to communicate with the client device to determine a respective amplitude of a Line-of-Sight (LOS) path between the AP and the client device for each beam. The AP identifies a high-LOS-amplitude subset of the beams and, based on predefined radiation patterns associated with the beams included in the high-LOS-amplitude subset, determines a direction of the LOS path between the AP and the client device. The AP also determines a Time-of-Flight (ToF) for radio frames exchanged between the AP and the client device via the plurality of directional beams and uses the ToF to determine a distance between the AP and the client device.

In a general aspect, a method is presented for detecting a location of motion using wireless signals that propagate along two or more paths of a wireless communication channel. The method includes storing a set of eigenvectors derived from first motion-sensing data associated with a first time frame. The first motion-sensing data is associated with a first motion-sensing topology of a wireless mesh network. The method also includes obtaining a motion vector based on wireless signals transmitted between access point nodes in the wireless mesh network during a second, subsequent time frame. The wireless mesh network operates in a second, distinct motion-sensing topology during the second time frame. The motion vector is compared with the respective eigen vectors, and a probability vector is generated based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.

The embodiments described herein provide ranging capabilities in RF-opaque environments, such as a jungle, utilizing transponders located on a property line. In particular, the embodiments described herein provide for determining a perpendicular distance to a property line from a ranging device. The transponders are located on the property line and a separated from each other by a known distance. The ranging device transmits RF signals to the transponders, which are received by the transponders and re-broadcasted back to the ranging device on a different frequency. The ranging device uses information about the transmitted and received RF signals and the known distance to calculate a perpendicular distance from the ranging device to the property line.

A method of determining a distance between a master device and a remote device includes communicating bi-directionally between a transceiver of a master device and a transceiver of a remote device with Bluetooth Low Energy communication, performing a radio frequency ranging sequence in between an advertising interval or a connection interval of the Bluetooth Low Energy communication, and employing the radio frequency ranging sequence to determine a distance between the master device and the remote device.

A method for detecting conflicts in the II/SI identification code of radars nearby a secondary mode-S radar, includes at least: a first step wherein the radar detects unsolicited unsynchronized replies, i.e. fruits, in a region of extended radar coverage; a second step wherein the radar detects a conflict in II/SI code by analyzing geographic regions of radar coverage common to the radar and to at least one nearby radar, a conflict being detected if the radar: detects, in the region of extended coverage, the presence of fruits that have as source the nearby radar; observes the absence of fruits caused by the nearby radar in that region of radar coverage of the radar which does not overlap with the region of radar coverage of the nearby radar; the region of overlap between the radar coverage of the radar and the radar coverage of the nearby radar forming a region of conflict in II/SI code.

A system for keyless entry applications using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. Control circuitry performs beam training with a target device associated with at least one keyless entry application in the environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, a state of the target device associated with the at least one keyless entry application or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

In a general aspect, a method is presented for detecting a location of motion using wireless signals that propagate along two or more paths of a wireless communication channel. The method includes storing a set of eigenvectors derived from first motion-sensing data associated with a first time frame. The first motion-sensing data is associated with a first motion-sensing topology of a wireless mesh network. The method also includes obtaining a motion vector based on wireless signals transmitted between access point nodes in the wireless mesh network during a second, subsequent time frame. The wireless mesh network operates in a second, distinct motion-sensing topology during the second time frame. The motion vector is compared with the respective eigen vectors, and a probability vector is generated based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.

In a general aspect, a method is presented for detecting a location of motion using wireless signals in a wireless mesh network that includes leaf nodes. The method includes obtaining motion-sensing data based on wireless signals exchanged on wireless links in a wireless mesh network including a plurality of nodes. The plurality of nodes includes a first access point (AP) node, one or more other AP nodes, and leaf nodes. The method also includes identifying, based on the motion-sensing data, the first AP node as an estimated location of motion of an object. The method additionally includes generating a likelihood data structure comprising likelihood values assigned to respective nodes of the plurality of nodes in response to the first AP node being identified as the estimated location of motion. A location of the motion of the object is determined based on the likelihood data structure.

Access Point (AP) placement using Fine Time Measurement (FTM) may be provided. First, a plurality of Time-of-Flight (ToF) values between a first service end point and a second service end point may be determined. Each one of the plurality of ToF values may be derived from packets transmitted via different beamforming vector patterns at the first service end point and the second service end point. Then a minimum ToF value of the plurality of ToF values may be determined. Next, a distance between the first service end point and the second service end point may be determined based on the minimum ToF value.