Patent classifications
G01S7/2813
Antenna array design and processing to eliminate false detections in a radar system
A system and method to eliminate false detections in a radar system involve arranging an array of antenna elements into two or more sub-arrays with a spacing between adjacent ones of the antenna elements of one of the two or more sub-arrays being different than a spacing between adjacent ones of the antenna elements of at least one other of the two or more sub-arrays. The method includes receiving reflected signals at the two or more sub-arrays resulting from transmitting transmit signals from the antenna elements of the two or more sub-arrays, and processing the reflected signals to distinguish an actual angle from the radar system to an object that contributed to the reflected signals from ambiguous angles at which the false detections of the object are obtained. A location of the object is determined as a result of the processing.
METHOD FOR REDUCING SIDELOBE IN ULTRASOUND IMAGES
According to the present invention, a method for reducing a sidelobe in an ultrasound image includes Step 1 of receiving, from individual receiving elements of an array transducer, ultrasonic signals reflected from an imaging point, and outputting the ultrasonic signals as channel signals of the corresponding receiving elements; Step 2 of applying focusing delays to each of the channel signals to temporally align the channel signals; and Step 3 of synthesizing an ultrasound image by using an added-up signal which is obtained by adding up the temporally aligned channel signals, wherein Step 3 includes calculating a magnitude of a corresponding sidelobe signal by using a spatial frequency of the sidelobe signal which generates a sidelobe and the number of receiving elements and synthesizing the ultrasound image by subtracting the calculated magnitude of the sidelobe signal from the added-up signal.
RADAR APPARATUS, VEHICLE, AND METHOD OF REMOVING UNNECESSARY POINT
A radar apparatus is constituted by a transmitter including transmit antennas, and a receiver including receive antennas, and processing circuitry. When a first beam pattern is used for detection, a memory of the receiver stores as a first result a detection result indicating the position of a reflection point of radio wave. When a second beam pattern is used for detection, a memory of the receiver stores as a second result a detection result indicating the position of a reflection point of radio wave. A detection-result comparator of the receiver compares the first and second results. When the position of a reflection point of the first result is different from the position of the reflection point of the second result, the detection-result comparator removes the reflection point that differs in position.
VEHICLE RADAR SYSTEM USING SHAPED ANTENNA PATTERNS
A radar sensing system for a vehicle, the radar sensing system including a transmitter and a receiver. The transmitter is configured to transmit a radio signal. The receiver is configured to receive the transmitted radio signal reflected from objects in the environment. The transmitter includes an antenna and is configured to transmit the radio signal via the antenna. The antenna includes a plurality of linear arrays of patch radiators. An arrangement of the linear arrays of patch radiators is selected to form a desired shaped antenna pattern having a desired mainlobe shape and desired shoulder shapes to cover selected sensing zones without nulls or holes in the coverage.
On-site calibration of array antenna systems
The present invention is directed to an antenna system and a method that is configured to compute calibration element voltage gain patterns as functions of a digital antenna model and a plurality of complex beamformer voltages, determine calibration through path transfer functions from the plurality of complex voltages, and remove the calibration element voltage gain patterns from the calibration through path transfer functions to determine a beamforming network transfer function. The beamforming network transfer function and the far-field element voltage gain patterns are combined to obtain a system transfer function used to revise a calibration table.
Vehicular radar system with self-interference cancellation
A digital FMCW radar is described that simultaneously transmits and receives digitally frequency modulated signals using multiple transmitters and multiple receivers and associated antennas. Several sources of nearby spillover from transmitters to receivers that would otherwise degrade receiver performance are subtracted by a cancellation system in the analog radio frequency domain that adaptively synthesizes an analog subtraction signal based on residual spillover measured by a correlator operating in the receivers' digital signal processing domains and based on knowledge of the transmitted waveforms. The first adaptive cancellation system achieves a sufficient reduction of transmit-receive spillover to avoid receiver saturation or other non-linear effects, but is then added back in to the signal path in the digital domain after analog-to-digital conversion so that spillover cancellation can also operate in the digital signal processing domain to remove deleterious spillover components.
Radar apparatus
A radar apparatus is provided that is capable of providing desired directivity without preventing downsizing of the apparatus. In the radar apparatus, an antenna for at least either transmitting radar waves or receiving reflected waves is protected by a radome. Provided on an opposing face that is a face of the radome opposing the antenna is a wall section protruding from the opposing face of the radome into a space of the radome and extending along at least a portion of an outline of an aperture projection. The aperture projection is a projection of an aperture of the antenna onto the opposing face in a normal direction to the aperture.
Self-healing antenna arrays
A method and apparatus for managing an antenna. A current radiation pattern is identified for the antenna using initial coefficients for a modulation function for the antenna. A first constraint is applied to the current radiation pattern to form a modified radiation pattern. New coefficients for the modulation function are identified as coefficients for which a difference between a radiation pattern for the antenna generated using the coefficients and the modified radiation pattern is reduced. A second constraint is applied to a set of coefficients in the new coefficients to form modified coefficients for the modulation function. The steps of applying the first constraint, identifying the new coefficients for the modulation function, and applying the second constraint are iterated until a new radiation pattern based on the modified coefficients for the modulation function meets the first constraint.
Radar device
A correlation matrix calculating unit calculates an unnecessary signal correlation matrix. A diagonal load processing unit performs diagonal load processing on the unnecessary signal correlation matrix. A window function calculating unit calculates a window function for obtaining a side lobe characteristic that reduces unnecessary signals on the basis of an unnecessary signal correlation matrix R after the diagonal load processing. A window function applying unit applies the window function to a reception signal vector. A beam forming unit forms a MIMO beam on the basis of the reception signal vector to which the window function is applied and a beam directivity angle.
BEAM STEERING RADAR WITH SELECTIVE SCANNING MODE FOR AUTONOMOUS VEHICLES
Examples disclosed herein relate to a beam steering radar for use in an autonomous vehicle. The beam steering radar has a radar module with at least one beam steering antenna, a transceiver, and a controller that can cause the transceiver to perform, using the at least one beam steering antenna, a first scan of a first field-of-view (FoV) with a first chirp slope in a first radio frequency (RF) signal and a second scan of a second FoV with a second chirp slope in a second RF signal. The radar module also has a perception module having a machine learning-trained classifier that can detect objects in a path and surrounding environment of the autonomous vehicle based on the first chirp slope in the first RF signal and classify the objects based on the second chirp slope in the second RF signal.