G01S13/9047

Compression of data employing variable mantissa size
11709225 · 2023-07-25 · ·

Exemplary aspects are directed to or involve a radar transceiver to transmit signal and receive reflected radar signals via a communication channel. The exemplary method includes radar receiver data processing circuitry that may be used to differentiate a subset of representations of the received signals. This differentiation may be used to select signals that are more indicative of target(s) having a given range than other ones of the received signals. The received signal's representations may then be compressed by using variable-mantissa floating-point numbers having mantissa values that vary based, at least in part, on at least one strength characteristic of the respective representations.

ELECTRONIC DEVICE, METHOD FOR CONTROLLING ELECTRONIC DEVICE, AND PROGRAM

An electronic device includes a transmission antenna, a reception antenna, and a signal processor. The transmission antenna is configured to transmit a transmission wave. The reception antenna is configured to receive a reflection wave resulting from reflection of the transmission wave. The signal processor is configured to detect an object based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflection wave. The signal processor is configured to output information regarding a point group representing the position of an object determined to be a stationary object based on the velocity of the object and the velocity of the electronic device.

Method and device with improved radar resolution

A method of increasing a resolution of radar data is provided. The method of training a radar resolution increase model comprises generating a high-resolution training ground truth and a low-resolution training input from original raw radar data based on information corresponding to at least one of dimensions defining the original raw radar data, and training the resolution increase model based on the high-resolution training ground truth and the low-resolution training input. A radar data processing device generates high-resolution output data from low-resolution input data based on a trained resolution increase model.

RADAR APPARATUS
20230059058 · 2023-02-23 ·

Provided is a radar apparatus that detects a target object with high accuracy. The radar apparatus includes: transmission circuitry, which, in operation, alternately outputs a first transmission signal with a first central frequency and a second transmission signal with a second central frequency higher than the first central frequency for each transmission period; and one or a plurality of transmission antennas, which, in operation, transmit the fast transmission signal and the second transmission signal. The second central frequency is higher than a frequency (1+1/Nc) times the first central frequency, where Nc is an integer indicating a number of times of transmission of each of the first transmission signal and the second transmission signal for the each transmission period within a predetermined duration.

Systems and methods for doppler-enhanced radar tracking
11237261 · 2022-02-01 · ·

A method for Doppler-enhanced radar tracking includes: receiving a reflected probe signal at a radar array; calculating a target range from the reflected probe signal; calculating a first target angle from the reflected probe signal; calculating a target composite angle from the reflected probe signal; and calculating a three-dimensional position of the tracking target relative to the radar array from the target range, first target angle, and target composite angle.

FLIGHT MANAGEMENT SYSTEM DEPARTURE AND ARRIVAL PERFORMANCE DISPLAY BASED ON WEATHER DATA UPLINK

A flight management system includes a communications system configured to receive weather data from a remote source, a display system configured to generate an output for a flight display of an aircraft, and at least one processor with a non-transitory processor-readable medium storing processor-executable code. The output includes weather information based on the received weather data. The processor-executable code causes the processor to receive a user input from a user interface element of the aircraft where the user input requests updated weather information. The processor-executable code causes the processor to retrieve, via the communications system and in response to the user input, updated weather data from the remote source; calculate a departure or arrival performance flight parameter based at least in part on the updated weather data; and provide, via the display system, an output for the flight display of the aircraft where the output includes the flight parameter.

COMPRESSION OF DATA EMPLOYING VARIABLE MANTISSA SIZE
20210396840 · 2021-12-23 ·

Exemplary aspects are directed to or involve a radar transceiver to transmit signal and receive reflected radar signals via a communication channel. The exemplary method includes radar receiver data processing circuitry that may be used to differentiate a subset of representations of the received signals. This differentiation may be used to select signals that are more indicative of target(s) having a given range than other ones of the received signals. The received signal's representations may then be compressed by using variable-mantissa floating-point numbers having mantissa values that vary based, at least in part, on at least one strength characteristic of the respective representations.

Crop classification and growth tracking with synthetic aperture radar

A computer-implemented method executed by one or more satellites for assessing crop development by using synthetic aperture radar (SAR) is presented. The method includes generating SAR images from scanning fields including crops, monitoring grown of the crops within the fields during a predetermined time period, and estimating a height of the crops during the predetermined time period by using interferometric information from one or more of the SAR images and tracking change in height and growth rates. The method further includes differentiating between crops in different fields by monitoring changes in the height of the crops during an entire growing season.

Vehicle environmental detection system for parking detection

A vehicle environmental detection system (3) in an ego vehicle (1) including at least one control unit arrangement (15) and at least one detector arrangement (4, 7) that is adapted to obtain a plurality of detections (14). The control unit arrangement (15) is adapted to form a cluster (40) of the plurality of detections (14), form a first border line (16) and a second border line (17), where these border lines (16, 17) have mutually longitudinal extensions, and are mutually parallel and define outer borders of the cluster (40) and determine whether the cluster (40) corresponds to a row (13) of corresponding parked vehicles (18a, 18b, 18c, 18d, 18e, 18f, 18g), by the length or longitudinal displacement of, or distance between, the border lines (16, 17).

Method for testing a target object as single point scattering center
11215693 · 2022-01-04 · ·

A vehicle-based method of determining the extent to which a target object is a single point scattering center is provided, wherein the vehicle comprises a radar system including at least one radar transmit element adapted to send a radar signal towards the target object, and a plurality of receiver channels (elements or antennas), each being adapted to receive radar signals reflected from the target object. According to the method, a radar signal is transmitted from the at least one radar transmit element to the target object, and signals being reflected by the target object are received at the receiver channels. A frequency transformation of the reflected signals is performed in order to create a range-Doppler map for each of the plurality of receiver channels. Furthermore, a beam vector is generated by selecting a respective value from each of the range-Doppler maps as an element of the beam vector corresponding to a respective receiver channel. The beam vector is processed by a Fourier transform and a peak amplitude from the Fourier transform is calculated. Finally, a reference value is calculated which depends on the elements of the beam vector, and the peak amplitude is compared with the reference value in order to determine the extent to which the target object is a single point scattering center.