Abstract: A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the signal information, the first location information indicating whether the target device is within a field of view (FoV) of the electronic device. Additionally, the method includes identifying second location information based on the motion information and the signal information, the second location information indicating whether the target device is within the FoV of the electronic device. The method also includes determining that the target device is within the FoV or outside the FoV of the electronic device based on at least one of the first location information or the second location information.

Abstract: The present disclosure discloses a method and device for sampling a pulse signal, and a computer program medium.

Abstract: The embodiment of the present disclosure discloses a method, an electronic device, and a storage medium for a ship route optimization. The method for the ship route optimization considers a dynamic feature of a multi-functional emergency rescue ship and an interference effect caused by an airflow, uses a movement model with kinematics non-holonomic constraints, such as a ship total cost assessment function to simulate the movement of the ship, and based on a sparrow search algorithm, learns how to apply the algorithm to a route plan of the emergency rescue ship. The method can improve the ship route optimization algorithm, improve an accuracy and practical applicability of a calculated plan. The method can effectively and accurately locate obstacles and hidden reefs, and consider effects of an airflow and a non-holonomic constraint effect, so as to make the route planning of the ship more efficient and intelligent.

Abstract: An electronic device includes a first set of sensors configured to generate motion information. The electronic device also includes a second set of sensors configured to receive information from multiple anchors. The electronic device further includes a processor configured to generate a path to drive the electronic device within an area. The processor is configured to receive the motion information. The processor is configured to generate ranging information based on the information that is received. While the electronic device is driven along the path, the processor is configured to identify a location and heading direction within the area of the electronic device based on the motion information. The processor is configured to modify the estimate of location and the heading direction of the electronic device based on the ranging information. The processor is configured to drive within the area according to the path, based on the location and heading direction.

Abstract: A method includes identifying a first anchor of a plurality of anchors as an initiator and identifying multiple second anchors of the plurality of anchors as multiple responders, the plurality of anchors located in a service area to be traversed by a robot. The method also includes sending, to the initiator and the responders via a wireless side-link, ranging information and a command to start ultra-wideband (UWB) ranging. The method also includes receiving, from the initiator via the wireless side-link, pair-wise range measurements representing UWB range measurements between the initiator and the responders. The method also includes generating initial location values for the initiator and the responders based on the pair-wise range measurements and one or more geometric constraints imposed on the initiator and the responders. The method also includes estimating 3D coordinates of the initiator and the responders using the initial location values.

Abstract: A method includes obtaining signal information based on wireless signals received from an external electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device. The method further includes performing a smoothing operation on the range information and the first and second AoA, the smoothing operation generating a predicted location of the external electronic device relative to the FoV of the electronic device. Additionally, the method includes generating, based on the smoothing operation, confidence values associated with the predicted location.

Abstract: A method includes obtaining signal information based on wireless signals received from a target electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes obtaining tagging information that identifies an environment in which the electronic device is located. The method also includes generating encoded information from a memory module based on the tagging information. The method further includes initializing a field of view (FoV) classifier based on the encoded information. Additionally, the method includes determining whether the target electronic device is in a FoV of the electronic device based on the FoV classifier operating on the signal information.

Abstract: A method includes obtaining channel information, range information, and angle of arrival (AoA) information based on wireless signals communicated between an electronic device and an external electronic device. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device based on the channel information and at least one of the range information or the AoA information. The initial prediction includes an indication of whether the external electronic device is within the FoV or outside the FoV of the electronic device. The method further includes performing, using a tracking filter, a smoothing operation on the range information and the AoA information. Additionally, the method includes determining that the external electronic device is within the FoV of the electronic device based on the AoA information, the smoothed AoA information, and the initial prediction.

Abstract: A method includes obtaining a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object. The method also includes estimating a first distance between the mobile device and the target object based on an energy of the CIR. The method also includes estimating a second distance between the mobile device and the target object based on a phase of the CIR. The method also includes obtaining an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance.

Abstract: A method includes, when a handheld device is in motion within a service area to be traversed by a robot: obtaining ultra-wideband (UWB) ranging measurements between the handheld device and multiple anchors located in the service area; and obtaining image data and inertial measurement unit (IMU) data. The method also includes determining a trajectory of motion of the handheld device based on the UWB ranging measurements. The method also includes adjusting the trajectory based on image features obtained from the image data and motion estimates obtained from the IMU data. The method also includes identifying the adjusted trajectory as a boundary of the service area.

Abstract: Methods, apparatus, systems and articles of manufacture to determine and apply polarity-based error correction code are disclosed. In some examples, the methods and apparatus create an array by setting a first set of bit locations of a code word to have a first value and setting a second set of bit locations of the code word to have a second value different from the first value. In some examples, when the array satisfies a parity check, the methods and apparatus determine that bit locations having the first value from the array form a polarity-based error correction code.

Abstract: A method, an electronic device, and computer readable medium are provided. The method includes receiving an input into a neural network that includes a kernel. The method also includes generating, during a convolution operation of the neural network, multiple panel matrices based on different portions of the input. The method additionally includes successively combining each of the multiple panel matrices with the kernel to generate an output. Generating the multiple panel matrices can include mapping elements within a moving window of the input onto columns of an indexing matrix, where a size of the window corresponds to the size of the kernel.

Abstract: An electronic device includes a transceiver and a processor. The processor is operably connected to the transceiver. The processor is configured to transmit, via the transceiver, radar signals for activity recognition. The processor is also configured to identify a first set of features and a second set of features from received reflections of the radar signals, the first set of features indicating whether an activity is detected based on power of the received reflections. Based on the first set of features indicating that the activity is detected, the processor is configured to compare one or more of the second set of features to respective thresholds to determine whether a condition is satisfied. After a determination that the condition is satisfied, the processor is configured to perform an action based on a cropped portion of the second set of features.

Abstract: In one example, a method performed by electronic circuitry comprises: causing a transducer to transmit a first signal; receiving a second signal from the transducer; computing distances responsive to a time between the first and second signals; determining a vibration characteristic based on the distances; reading reference vibration characteristics from data in a memory; comparing the input vibration characteristic to the reference vibration characteristics; and responsive to the comparing, performing at least one of: providing a signal representing a status of the comparing; or updating the data in the memory.

Abstract: A method for contactless vital sign monitoring includes transmitting, via a transceiver, radar signals for object detection. The method also includes generating a clutter removed channel impulse response from received reflections of the radar signals a portion of which are reflected off of a living object. The method further includes identifying a set of range bins corresponding to a position of the living object. Additionally, the method includes identifying a first set of signal components representing a respiration rate of the living object and a second set of signal components representing a heart rate of the living object.

Abstract: A method includes determining one or more active slots and inactive slots in an ultra-wide band (UWB) ranging round. The method also includes determining multiple silent periods in the ranging round based on an arrangement of the inactive slots. The method also includes determining a target silent period in the ranging round, among the multiple silent periods, to be used for WiFi communication. The method also includes determining multiple target wake time (TWT) parameters such that a TWT session period defined by the TWT parameters overlaps with the target silent period. The method also includes determining one or more second silent periods preceding the target silent period in which the TWT parameters can be negotiated with an access point (AP) for the WiFi communication. The method also includes negotiating the TWT parameters with the AP during the one or more second silent periods.

Abstract: Methods and apparatus to measure and analyze vibration signatures are disclosed. In some examples, a meter is provided comprising a waveform generator to generate a waveform based on first distance measurements of an object. In some examples, the meter includes a waveform generator to determine a first vibration characteristic of the object based on the waveform. In some examples, the meter includes a comparator to compare the first vibration characteristic to a signature vibration characteristic of the object, the signature vibration characteristic of the object indicative of normal characteristics of the object. In some examples, the meter includes a reporter to, in response to determining the first vibration characteristic does not match the signature vibration characteristic, generate an alert.

Abstract: A method includes obtaining signal information based on wireless signals received from a target electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes obtaining tagging information that identifies an environment in which the electronic device is located. The method also includes generating encoded information from a memory module based on the tagging information. The method further includes initializing a field of view (FoV) classifier based on the encoded information. Additionally, the method includes determining whether the target electronic device is in a FoV of the electronic device based on the FoV classifier operating on the signal information.

Abstract: A method includes obtaining signal information based on wireless signals received from an external electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device. The method further includes performing a smoothing operation on the range information and the first and second AoA, the smoothing operation generating a predicted location of the external electronic device relative to the FoV of the electronic device. Additionally, the method includes generating, based on the smoothing operation, confidence values associated with the predicted location.

Abstract: A method for localizing a target device (TD) by a user device (UD) includes determining whether the TD is within a range and within a field-of-view (FoV) of the UD based on a UWB channel between the TD and the UD. In response to a determination that the TD is outside the range and not within the FoV, the method includes identifying a first electronic device. The method also includes transmitting, to the first electronic device, a request for localizing the TD using an out-of-band channel. The method further includes receiving, from the first electronic device, location information of the TD on the out-of-band channel. The location information represents a candidate location of the TD in a coordinate system of the first or a second electronic device. Additionally, the method includes identifying a TD location with respect to a coordinate system of the UD based on the candidate location.