A method according to an embodiment includes receiving UWB data by an access control device, performing predictive analysis on the UWB data to generate expected location data associated with a location of a mobile device, determining a velocity of the mobile device and a heading of the mobile device based on the UWB data, determining whether the mobile device is on course to a passageway associated with the access control device based on the velocity and the heading of the mobile device, performing state estimation to determine whether the mobile device is within a secure distance threshold from the passageway, wherein the secure distance threshold dynamically changes based on the velocity of the mobile device, and inferring ingress intent of a user of the mobile device in response to determining that the mobile device is within the secure distance threshold and on course to the passageway.

A system includes a local oscillator (LO) signal generation circuit, a receiver (RX) circuit, and a calibration circuit. The LO signal generation circuit generates an LO signal according to a reference clock, and includes an active oscillator that generates the reference clock. The active oscillator includes at least one active component. The RX circuit generates a processed RX signal by processing an RX input signal according to the LO signal. The calibration circuit checks a signal characteristic of the processed RX signal by detecting if a calibration tone exists within a receiver bandwidth, set a frequency calibration control output in response to the calibration tone being not found in the receiver bandwidth, and output the frequency calibration control output to the LO signal generation circuit. The LO signal generation circuit adjusts an LO frequency of the LO signal in response to the frequency calibration control output.

A method is described that can be used in a radar system. In accordance with one exemplary embodiment, the method includes calculating a first spectrum, which represents a spectrum of a segment of a complex baseband signal. The segment is assignable to a specific chirp of a chirp sequence contained in a first RF radar signal. The method further includes estimating a second spectrum, which represents a spectrum of an interference signal contained in the complex baseband signal, based on a portion of the first spectrum that is assigned to negative frequencies.

Methods and systems for remote sleep monitoring are provided. Such methods and systems provide non-contact sleep monitoring via remote sensing or radar sensors. In this regard, when processing backscattered radar signals from a sleeping subject on a normal mattress, a breathing motion magnification effect is observed from mattress surface displacement due to human respiratory activity. This undesirable motion artifact causes existing approaches for accurate heart-rate estimation to fail. Embodiments of the present disclosure use a novel active motion suppression technique to deal with this problem by intelligently selecting a slow-time series from multiple ranges and examining a corresponding phase difference. This approach facilitates improved sleep monitoring, where one or more subjects can be remotely monitored during an evaluation period (which corresponds to an expected sleep cycle).

An electronic device is provided. The electronic device includes an antenna module, a communication module configured to control the antenna module, and at least one processor operatively connected to the communication module, wherein the at least one processor transmits a ultra-wide band (UWB) signal including a first data frame, receives, based on the transmitted first data frame, a reflected first data frame, obtains a first channel impulse response by using the reflected first data frame, acquires information by using the channel impulse response, and receives a UWB signal including a second data frame from an external electronic device in response to the transmitted first data frame.

The present disclosure provides a parameter calibration importing method for importing calibration parameter into an UWB module, the parameter calibration importing method includes determining the calibration parameter according to requirements of the UWB module, storing the calibration parameters, and writing the corresponding calibration parameters into an UWB chip according to the identity information. Wherein the calibration parameter is associated with identity information of the UWB module.

A method of collision warning using broad antenna pattern ultra-wide band (UWB) radar includes emitting a first radar ping from a broad beam UWB antenna and receiving a first return signal identifying an object. A first hemisphere with a first radius is determined for the object. A second ping, second return and second hemisphere is defined for the object. At the intersection of the hemispheres, an object ring is defined. The radius of the object ring is compared with the radius of a collision cylinder (e.g., representing a safe distance around a system or device, such as a drone). The object may be identified as posing a collision threat when the radius of the object ring is smaller than the radius of the collision cylinder.

A method for detecting an activity of an object disposed within a medium at a depth ranging from about 0 to about 100 cm using a radar system, the method including establishing a baseline radar power level of the object in the medium; and detecting one or more radar data anomalies in radar data received of the medium with respect to the baseline radar power level, wherein a presence of the one or more anomalies indicates a presence of the activity of the object.

Provided are an electronic device that performs ranging by using an ultra wide-band (UWB) communication scheme and an operation method of the electronic device. The operation method of the first electronic device includes transmitting a first ranging control message (RCM) comprising interval information to a second electronic device, determining a first time to transmit a second RCM based on the interval information, determining a first RCM timing window (RTW) based on the first time, transmitting the second RCM to the second electronic device in the first RTW, and transmitting a third RCM at a second time in a second RTW, based on a failure to receive a response message corresponding to the second RCM within a specific time period in the first RTW, wherein the second time is a random time point in the second RTW.

Disclosed is an indoor SLAM method based on three-dimension (3D) lidar and ultra-wide band (UWB). Firstly, a UWB positioning system is deployed in an indoor area, then a robot carrying 3D lidar sensors explores the indoor area, and finally, a SLAM algorithm integrating lidar data and UWB data is used to generate a map of the explored area. The method specifically includes the following steps: determining a relative pose transformation between the 3D laser SLAM coordinate system and the UWB positioning coordinate system; using UWB data to provide initial value for inter-frame matching of laser odometer; using UWB data to add constraints to SLAM back-end pose graph; and performing loop detection based on curvature feature coding. This application breaks through the limitation of lighting conditions of indoor areas, eliminates the accumulated errors of SLAM, and constructs a high-quality indoor map.