In a general aspect, a method is presented for detecting a location of motion using wireless signals and topologies of wireless connectivity. The method includes obtaining motion-sensing data from access point (AP) nodes of a wireless mesh network. The motion-sensing data is based on wireless signals transmitted between respective pairs of the AP nodes. The method additionally includes identifying a motion-sensing topology of the wireless mesh network. The motion-sensing topology is based on tags assigned to respective AP nodes, each tag indicating a connected state of a respective AP node. The method further includes generating a probability vector based on the motion-sensing data and the motion-sensing topology. The probability vector includes values that represent probabilities of motion of an object at respective AP nodes. A location of the motion of the object is determined based on the probability vector.

In a general aspect, a method is presented for detecting a location of motion using wireless signals and topologies of wireless connectivity. The method includes obtaining motion-sensing data from access point (AP) nodes of a wireless mesh network. The motion-sensing data is based on wireless signals transmitted between respective pairs of the AP nodes. The method additionally includes identifying a motion-sensing topology of the wireless mesh network. The motion-sensing topology is based on tags assigned to respective AP nodes, each tag indicating a connected state of a respective AP node. The method further includes generating a probability vector based on the motion-sensing data and the motion-sensing topology. The probability vector includes values that represent probabilities of motion of an object at respective AP nodes. A location of the motion of the object is determined based on the probability vector.

The present invention relates to a method for estimating a distance between nodes of an LPWA network. A first node (a second node resp.) successively transmits a narrow band signal at a plurality of carrier frequencies (421). The second (the first resp.) node receives the transmitted signals and demodulates them into baseband (422). Complex values representative of a forward-backward function of the transmission channel between two nodes are obtained (423) from the baseband demodulated signals. These complex values are then provided to a previously supervisingly trained neural network (425), the neural network giving an estimation of the distance separating the first node and the second node. The present invention also relates to a method for estimating the position of a node in an LPWA network using said distance estimation method.

An ultra-wideband (UWB) wireless communication system comprises a first wireless transceiver that outputs a unit of data having a first preamble that includes data for performing a time-of-flight distance measurement; a second wireless transceiver that replaces the first preamble of the unit of data with a second preamble for providing a performance level required for the time-of-flight distance measurement between the first and second wireless transceivers commensurate with an environment in which the second wireless transceiver is used; and a communication link between the first and second wireless transceivers that transmits the unit of data having the first preamble from the first wireless transceiver to the second wireless transceiver, transmits the second preamble from the second wireless transceiver to the first wireless transceiver, and exchanges subsequent electronic communications between the first and second wireless transceivers using the second preamble.

A positioning device and positioning method in which a first wireless signal is transmitted along a first signal path having a first signal path angle that changes relative to time; second wireless signal data representing a response of a wireless station to the first wireless signal is received; a third wireless signal is transmitted along a second signal path; and an assumption that an obstruction is between the wireless communication device and the wireless station is generated if the wireless communication device receives a response from the wireless station to the first wireless signal but does not receive a response from the wireless station to the third wireless signal; wherein the second signal path is a linear path.

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.

In a general aspect, a method is presented for detecting a location of motion using wireless signals and differences between topologies of wireless connectivity. The method includes storing first motion-sensing statistics 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 second motion-sensing statistics derived from second motion-sensing data associated with a second, subsequent time frame. The second motion-sensing data is associated with a second, distinct motion-sensing topology of the wireless mesh network. The first motion-sensing statistics are compared to the second motion-sensing statistics. The method additionally includes generating a probability vector based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.

A radar includes an antenna having a radiating pattern forming a sum channel, a radiating pattern forming a difference channel and a pattern forming a control channel, and generates at least interrogation messages on the sum channel and interrogation messages on the control channel; transmits messages via the sum channel and via the control channel respectively, and receives and processes signals received via the sum, difference, and control channels, configured for detecting replies of targets on the signals received via the sum and difference channels and carrying out monopulse processing and RSLS processing on the replies. The transmission is configured such that, for each target, the width of the beam for transmitting interrogations and receiving mode S selective replies is controlled based on the movement window of the target and position of the axis of the antenna in the window, to provide detection of the target by reducing the number of selective interrogations by a selective sub-interrogation of the target while ensuring precise positioning in azimuth: by pre-locating the target at the edge of the main reception lobe of the antenna by deviation measurement between the signals received on the difference and sum channels; and by selectively re-interrogating the pre-located target in mode S by calculation of the roll-call signal nearest to the centre of the main lobe to ensure precision in azimuth, without any other unnecessary supplementary interrogation.

An electronic device configures two or more virtual responders associated with different subsets of capabilities of a physical responder in the electronic device, where the physical responder comprises a radio-frequency (RF) transceiver and multiple antennas, and where a given virtual responder corresponds to the RF transceiver and a given antenna. Then, the electronic device performs, based at least in part on wirelessly communication with a second electronic device and using at least the virtual responders, measurements on wireless signals from the second electronic device to the electronic device, where the measurements correspond to a time of flight of the wireless signals. Next, the electronic device determines, based at least in part on the measurements, a range between the electronic device and the second electronic device, where the determination uses the measurements from different virtual responders to correct for an environmental condition and/or increase an accuracy of the determined range.

A method for checking the association of radio nodes and objects to a radio environment with a radio node set having at least three radio nodes spaced apart from one another, each with a radio interface and its separate timer, wherein at least two radio nodes are reference radio nodes with known distances from one another and at least one radio node is a test radio node, the association of which with the radio environment of the reference radio node is checked. During a measuring process, signals are emitted and received by radio nodes of the radio node set, wherein at least two radio nodes of the radio node set operate as transceivers and at least one radio node exclusively operates as a transmitter or exclusively operates as a receiver or a transceiver.