This disclosure relates to an electronic device for wireless communications, and a wireless communication method. The electronic device comprises one or more processors, wherein each processor is configured to respectively conduct space-domain filtering on received signals of a plurality of antennas, respectively; estimate the frequency shift of corresponding received signals based on the signals, on which space-domain filtering is conducted, of various antennas; estimate, according to the estimated frequency shift and a parameter of the space-domain filtering, a Doppler frequency shift generated by the relative motion between transceiving ends of the received signals and a carrier frequency offset generated by frequency inconsistency of the transceiving ends; and conduct frequency preprocessing on sent signals of the antennas according to the estimated Doppler frequency shift, and/or control to feed back information related to the estimated Doppler frequency shift to a signal sending end.

A vehicular sensing system includes at least one radar sensor disposed at a vehicle and having a field of sensing exterior of the vehicle. The radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit signals and the receiving antennas receive the signals reflected off objects. Multiple scans of radar data are received at an electronic control unit (ECU) and processed at a processor of the ECU. The ECU detects presence of a plurality of objects exterior the equipped vehicle and within the field of sensing of the at least one radar sensor. The ECU, responsive at least in part to processing at the processor of the received multiple scans of captured radar data and received vehicle motion estimation, tracks objects detected in the received multiple scans over two or more scans.

A vehicle running status field model-based information transmission frequency optimization method in the Internet of Vehicles belongs to the technical field of network communications. The method establishes a running status field model according to the real-time running status of a road vehicle to describe the degree of risk of the vehicle, the degree of risk can be used to dynamically adjust the transmission frequency of safety-critical information, and the transmission frequency of non-safety-critical information is adjusted through the real-time transmission frequency of safety-critical information to achieve the purpose of improving the utilization ratio of link. The method establishes the running status field model of a moving vehicle, uses the risk intensity of the vehicle in the running status field to describe the current running risk of the vehicle, and takes account of different application scenarios, thereby having generality. In addition, the improved network resource optimization method can effectively improve the communication efficiency of heterogeneous networks, and dynamically adjust the transmission frequency of safety-critical information through the magnitude of the risk intensity to improve the utilization ratio of link.

A method and apparatus for determining a direction of an object using a plurality of antennas is disclosed. The method includes determining an optimal antenna pattern to determine the direction of the object from among a plurality of candidate antenna patterns using a portion of the antennas, and determining the direction of the object using the optimal antenna pattern.

A radar system includes a transmitter to transmit a sequence of pulses, a receiver to receive reflections of the transmitted pulses, and velocity detection circuitry to determine a velocity of an object in a path of the transmitted pulses based at least in part on the transmitted pulses and the reflected pulses. The transmitter includes a plurality of digital-to-analog converters (DACs) to generate the sequence of pulses in response to a clock signal. The receiver includes a plurality of analog-to-digital converters (ADCs) to sample the reflected pulses in response to the clock signal. Accordingly, the ADCs are locked in phase with the DACs.

A method of handling radar signals of a radar system having a plurality of antennas is provided. The method may include generating a plurality of time-based radar signals based on a radar signal received by an associated antenna of the plurality of antennas, and transforming each time-based radar signal of the time-based radar signals into radar signals that each comprise a plurality of pairs of a frequency-based-value and an associated intensity value. The method includes storing the frequency-based-values and the intensity values of one frequency-based radar signal corresponding to one time-based radar signal of one antenna of the plurality of antennas; and storing each intensity value of the plurality of intensity values of another of the plurality of frequency-based radar signals based on a corresponding intensity value of the one frequency-based radar signal, wherein a stored representation of the intensity value of the other of the plurality of frequency-based radar signals has fewer bits than the corresponding stored intensity value.

The present invention relates to a gesture detection Apparatus and Method of Operation comprising of an mm-wave radar sensor, having an integrated mm-wave IC front end, with special arrangement of the antenna system, with a new art of angle detection and which does not contain radio down-conversion topology, common in non-professional radar systems. The proposed Apparatus is capable of detecting the two dimensional target angle, having an inherently low-cost system topology, suitable as a replacement in functionality for the commonly used gesture detection system in consumer applications. The proposed apparatus topology consist of two transmitting planar antennae, and two pairs of receiving antennae without the down-conversion of receiver chains, but with introduced analog signal combining structures and mm-wave power detectors. The complete proposed sensor apparatus topology with integrated antennae, mm-wave IC and digital processing parts may be realized in a module smaller than 110.5 cm and operating in the 60 GHz band for industrial, health care and consumer applications, as well as in the 77-81 GHz band for automotive applications. The integration of the sensor module may be performed in polymer technologies. Sensor can be used as a part of other device or as a gadget.

A system and corresponding method are described. The system comprises an RF transmission unit comprising an arrangement of one or more transmission antenna elements configured for transmitting radiation in one or more elected frequency ranges toward an inspection region; RF collection unit comprising one or more collection antenna elements configured for receiving radiation in said one or more frequency ranges from at least a portion of said inspection region; and a control system. The control system is configured for receiving and processing data on collected RF signals from the RF collection unit for determining one or more parameters on a at least one object located in said inspection region.

A sensing system for a vehicle includes at least one radar sensor disposed at the vehicle and having a field of sensing exterior of the vehicle. The at least one radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit signals and the receiving antennas receive the signals reflected off objects. Multiple scans of radar data sensed by the at least one radar sensor are received at a control, and a vehicle motion estimation is received at the control. The control, responsive to received scans of sensed radar data, detects the presence of one or more objects exterior the vehicle and within the field of sensing of the at least one radar sensor. The control, responsive to the received scans of sensed radar data and the received vehicle motion estimation, matches objects detected in the scans and determines angles toward the detected objects.

Techniques for accurately determining a velocity of a radar (or ultrasonic, sonar) device and/or a moveable platform associated with the radar device may comprise fitting a model to a set of Doppler values received from the device, and determining the velocity based at least in part on the model. Fitting the model to the set may comprise determining a residual between an estimated Doppler value generated by the model and a measured Doppler value and altering a parameter of the model based at least in part on an asymmetrical loss function and the residual. The asymmetrical loss function may comprise a first portion that comprises a square of the residual and a second portion that is linearly proportional to the residual. The second portion may be based at least in part on an estimated velocity and/or estimated Doppler value and may account for out-of-plane returns.