A radar system includes a transmit front end device including a transmit planar component, and a receive front end device including a receive planar component. Each of the transmit planar component and the receive planar component includes a first end, a second end, a cavity space and a linear array of antennas. The cavity space is bounded by beam ports along a first side of the cavity space and by array ports along a second side of the cavity space. The cavity space is in operative communication with the beam ports and with the array ports to form a Rotman lens. A linear array of antennas is located along the second end of the planar component. The transmit planar component and receive planar component are arranged such that the linear array of antennas of the transmit planar component and the linear array of antennas are perpendicular to one another.

A radar system for motor vehicles, with a plurality of transmit/receive units arranged on separate installation supports for installation at various locations in the motor vehicle, an evaluation system for evaluating the radar signals received on a plurality of channels in a plurality of processing steps, a first processing step delivering a digital time signal for each channel, which digital time signal represents the received radar signal, and a final processing step delivering as the result location data for individual radar objects and at least the final processing step being implemented for the plurality of transmit/receive units in a central evaluation unit with which the transmit/receive units in each case communicate via a raw data interface. The each of raw data interfaces has a serializer, which is configured to transfer raw data from the plurality of channels of the transmit/receive unit in question serially to the central evaluation unit.

A radar system for motor vehicles, with a plurality of transmit/receive units arranged on separate installation supports for installation at various locations in the motor vehicle, an evaluation system for evaluating the radar signals received on a plurality of channels in a plurality of processing steps, a first processing step delivering a digital time signal for each channel, which digital time signal represents the received radar signal, and a final processing step delivering as the result location data for individual radar objects and at least the final processing step being implemented for the plurality of transmit/receive units in a central evaluation unit with which the transmit/receive units in each case communicate via a raw data interface. The each of raw data interfaces has a serializer, which is configured to transfer raw data from the plurality of channels of the transmit/receive unit in question serially to the central evaluation unit.

The description below relates to a method for a radar sensor. According to one example implementation, the method comprises receiving configuration data and storing the received configuration data in a first radar chip having multiple transmission channels. The configuration data contain multiple parameter sets for a chirp sequence and association information representing an association of a respective chirp of the chirp sequence with one of the multiple parameter sets. The method further comprises receiving a trigger signal in the first radar chip. The trigger signal indicates the beginning of a respective chirp of the chirp sequence. The transmission channels mentioned are repeatedly configured in sync with the trigger signal, wherein for each chirp of the chirp sequence the transmission channels are configured according to the respective association information. The method further comprises receiving an RF oscillator signal representing the chirp sequence, and supplying the RF oscillator signal to the accordingly configured transmission channels.

Aspects of the disclosed technology provide solutions for performing odometry and in particular, for performing odometry by filtering moving objects from a scene using sensor data. In some aspects, a process can include steps for receiving a first set of sensor data corresponding with a plurality of objects in a scene, determining one or more moving objects and one or more stationary objects from among the plurality of objects, and receiving a second set of sensor data. In some aspects, the process can further include steps for filtering the second set of sensor data to remove data associated with the one or more moving objects and generating odometry data associated with the filtered second set of sensor data. Systems and machine-readable media are also provided.

A system for illuminating an area around a motor vehicle, having: a pair of radar systems and a pair of lighting systems mounted on the motor vehicle; a vehicle level sensor configured to detect changes in pitch or roll of the motor vehicle; and an illumination control system in the motor vehicle. The illumination control system includes a key fob communication system and determines the location of a person by detecting the person approaching the motor vehicle by detecting the presence of the key fob while also detecting the location of the person with a radar system mounted on the vehicle. Next, when the location of the person has been determined, the illumination system lights up the area the person is standing while following movement of the person with the radar system to continuously re-directing the illumination towards the location on the ground where the person is standing as the person moves.

An electronically steerable phased array and switching network connected to an FMCW radar transceiver to enable a low-cost monopulse tracking system that covers a wide field of regard using electronic beam steering. In a first mode, beamformer integrated circuits (BFICs) at each element in the array are switched synchronously with transmit/receive (T/R) switches located at the subarray level. This allows the entire aperture to be switched between transmission and reception, enabling the FMCW radar transceiver to be operated in a pulsed configuration. In a second mode, a portion of the T/R switches at the subarray level and all of the connecting BFICs at the element level are fixed in either transmitting or receiving mode, allowing separate portions of the aperture to concurrently transmit or receive. The arrangement of transmitting and receiving subarrays can be dynamically reconfigured to allow for accurate bearing and azimuth estimation using alternating monopulse.

An electronic device is provided. The electronic device includes a communication circuit, a memory, and a processor operatively connected to the communication circuit and the memory, wherein the processor may be configured to transmit a first message for range measurement in a first range measurement period through the communication circuit, receive a second message including a first response time and transmitted by a first external electronic device through the communication circuit in response to the first message, receive a third message including a second response time and a third response time and transmitted by a second external electronic device through the communication circuit in response to the first message, and receive a fourth message including a fourth response time, a fifth response time, and a sixth response time and transmitted by a third external electronic device through the communication circuit in response to the first message.

A method, apparatus, and system for managing sensor system for an aircraft. A presence of erroneous sensor data generated by a set of external sensors on an exterior of the aircraft is detected. A set of deployable sensors is deployed in response to the erroneous sensor data being received from the set of external sensors on the exterior of the aircraft when an undesired environmental condition adverse to the set of external sensors on the exterior of the aircraft is absent. Sensor data is received from the set of deployable sensors.

The technology relates to developing a highly accurate understanding of a vehicle's sensor fields of view in relation to the vehicle itself. A training phase is employed to gather sensor data in various situations and scenarios, and a modeling phase takes such information and identifies self-returns and other signals that should either be excluded from analysis during real-time driving or accounted for to avoid false positives. The result is a sensor field of view model for a particular vehicle, which can be extended to other similar makes and models of that vehicle. This approach enables a vehicle to determine when sensor data is of the vehicle or something else. As a result, the detailed modeling allowing the on-board computing system to make driving decisions and take other actions based on accurate sensor information.