Abstract: A multi node radar network system is disclosed. The system includes a base node configured to transmit a directional 5G RF signal, a request node configured to request the base node to transmit the 5G RF signal, and one or more listening nodes configured to receive reflections of the 5G RF signal off of a target object. The system further includes a computation module configured to determine the location of the target object from data received from at least one of the base node, the request node, or the one or more listening nodes. A method for determining the position of a target object in a multi node radar system is disclosed.

Abstract: Disclosed is a radar for a vehicle configured to detect objects around a vehicle using an antenna, and the radar includes a substrate-integrated waveguide (SIW) in which a plurality of bent slots is formed, at least one processor electrically connected to the substrate-integrated waveguide, and a differential line electrically connecting the substrate-integrated waveguide to the at least one processor.

Abstract: An angle-resolving radar sensor for motor vehicles, having an antenna system having a plurality of antennas set up for receiving, configured in various positions in a direction in which the radar sensor is angle-resolving, and having a control and evaluation device designed for an operating mode in which at least one antenna of the radar sensor that is set up for transmitting sends out a signal that is received by a plurality of the antennas of the radar sensor that are set up to receive, the control and evaluation device being designed, in the mentioned operating mode, for an individual estimation of an angle of a radar target to determine respective individual distances of the radar target for each of the evaluation channels, which correspond to different configurations of transmitting and receiving antennas, and to use the individual distances in the estimation of the angle of the radar target.

Abstract: This radar device can recognize the type of a specific target (in particular, a two-wheeled vehicle) with high precision, using only the radar device. The radar device comprises: a transmission unit that transmits a transmission wave, based on a transmission signal, toward the target; a receiving unit that receives a reflected wave generated by the transmission wave being reflected by the target, and thereby generates a reception signal; and a target detection unit that acquires information on the target on the basis of the transmission signal and the reception signal. The target detection unit calculates the relative speeds of a plurality of detection points within the same target, and determines the type of the target on the basis of the spread of the relative speeds.

Abstract: Disclosed is a sensor device. The sensor device includes a sensor configured to be attached between a rear wheel of a vehicle and a rear body cover of the vehicle, configured to detect objects in proximity to the vehicle through the rear body cover. The sensor device also includes a vertical guard configured to be attached to the vehicle, such that the sensor is protected from adhesion of materials directed rearward by the rear wheel, and an angled guard coupled to the vertical guard and extending underneath the sensor and towards the rear body cover, such that a portion of the rear body cover, through which the sensor emits a signal for detecting objects in proximity to the vehicle, is protected from adhesion of materials directed rearward by the rear wheel.

Abstract: The example non-limiting technology herein provides a Synthetic Aperture Radar (SAR) solution on board a micro-satellite that provides global revisit within 1 month; a cost below US$ 10 million; and satellite mass lower than 100 kg. One solution uses an inflatable Cassegrain type antenna with a phased beam steering array in the 1.2 GHz band.

Abstract: The invention provides a millimeter wave radar modeling-based method for object visibility determination, to solve the problem of object visibility determination based on virtual sensor modeling in intelligent vehicle simulation and testing, and improve the fidelity of sensor modeling while meeting simulation efficiency requirements. It includes the steps of target vehicle information detection to obtain target vehicle information; target vehicle reflection intensity simulation: for each target vehicle performing geometry culling on the target vehicle, discarding completely-invisible target vehicles, and calculating visible section information for each target vehicle that has a visible section, and reflection intensity calculation; target vehicle visibility determination: analyzing visibility of the target vehicle according to the target vehicle reflection intensity, and converting and outputting information of a visible object into an expression form of a real millimeter-wave radar sensing an object.

Abstract: A motor vehicle having at least one radar sensor, which is mounted behind a radome, formed by a component of the motor vehicle to be radiated through, and/or having a radome, wherein the motor vehicle further includes a reference structure having at least one radar-detectable marker, which can be controlled by an adjusting apparatus and moved into a measuring position in the detection area of a radar sensor outside the radome, and a control apparatus configured to control the adjusting apparatus, based on a trigger signal, for moving the reference structure into the measuring position and to evaluate radar data recorded by the radar sensor describing the reference structure in the measuring setting through a comparison with a comparison data set stored in the control apparatus and recorded without deposition on the radome for detection of the potential deposition. The trigger signal indicates a potential deposition, which restricts the performance of the radar sensor, on the radome.

Abstract: A radar system for generating a radar image of a scene. Receive radar measurements of reflectivity of each point in the scene measured by receivers. Solve a radar image recovery (RIR) problem using stored data to produce the radar image. By connecting the radar measurements to a shift of a reflection field with a receiver shift. The receiver shift defines an error between stored receiver positions and actual receivers positions, the reflection field is generated by reflecting the transmitted field from the scene in accordance with the reflectivity of each point in the scene. Connecting the reflection field to a shift of an incident field with a transmitter shift. The transmitter shift defines an error between stored transmitter positions and actual transmitters positions. Solve as a multilinear problem of joint estimation of the reflectivity of each point in the scene, the receiver shift, and the transmitter shift.

Abstract: A method carried out in a radionavigation system (2), the radionavigation system (2) comprising a receiver (4) and a radionavigation infrastructure (6), the radionavigation infrastructure comprising a plurality of satellite-borne transmitters (8, 8?, 8?, 8??), and encryption component (10) configured for communication with the transmitters (8, 8?, 8?, 8??) and the receiver (4). The method comprises the following, for one or more given transmitters (8) of the plurality of satellite-borne transmitters (8, 8?, 8?, 8??). In the radionavigation infrastructure (6), a series of keys k2,i are generated in respect of a predetermined authentication interval [0,T] of duration T and commencing at t=0 and a spreading code-encrypted signal e(t) is generated from a first radionavigation signal s1(t) using a keystream K1(t), the keystream K1(t) being generated with a secret key k1 of the radionavigation infrastructure (6).

Abstract: Described is a stripmap SAR system on a vehicle comprising an antenna that is fixed and directed outward from the side of the vehicle, a SAR sensor, a storage, and a computing device. The computing device comprises a memory, one or more processing units, and a machine-readable medium on the memory. The machine-readable medium stores instructions that, when executed by the one or more processing units, cause the stripmap SAR system to perform various operations. The operations comprise: receiving stripmap range profile data associated with observed views of a scene; transforming the received stripmap range profile data into partial circular range profile data; comparing the partial circular range profile data to a template range profile data of the scene; and estimating registration parameters associated with the partial circular range profile data relative to the template range profile data to determine a deviation from the template range profile data.

Abstract: An object detection apparatus 1 includes: an emitting unit 101 for emitting an RF transmission signal; a receiving unit 201 for receiving, if the RF transmission signal is reflected off an object, the reflected RF transmission signal as an RF reception signal; an IF signal generating unit 202 for generating, in every period, a complex IF signal based on a signal obtained by mixing the RF transmission signal with the RF reception signal; a position detecting unit 203 for detecting the position of the object based on an evaluation function generated based on the complex IF signal generated in every period; and a displacement detecting unit 204 for detecting a displacement of the object based on the position of the object and the phase of complex reflectance of the object calculated based on the complex IF signal.