Abstract: A radar sensor system is provided. The radar sensor system includes: at least two radar sensors each having at least one transmitter and at least one receiver, detection regions of the two radar sensors overlapping at least partially. The two radar sensors are situated at a defined distance from one another. Transmit signals of the two radar sensors are synchronizable in such a way that radiation of one radar sensor that was emitted by the respective other radar sensor and reflected by an object is capable of being evaluated by an evaluation device.

Abstract: Aspects presented herein may enable a wireless device to perform an SL ranging based on a single-sided PRS transmission. In one aspect, a first wireless device transmits one or more reference signals to at least one RIS associated with a second wireless device. The first wireless device receives one or more reflected reference signals reflected from the at least one RIS. The first wireless device calculates a signal RTT based on the one or more reference signals and the one or more reflected reference signals. In another aspect, a second wireless device transmits, to a first wireless device, information indicating a time, a duration, or a periodicity in which at least one RIS associated with the second wireless device is to be activated. The second wireless device activate the at least one RIS based on the information.

Abstract: Agricultural detection device, having a sensor unit, an evaluation unit and a control unit. The sensor unit includes a first sensor with a first directivity and is configured to emit a first transmission signal and to receive a first reflection signal. The first sensor has a second directivity and emits a second sensor signal with the second directivity and receives a second reflection signal, or the sensor unit has a second sensor with a second directivity arranged adjacent to the first sensor for emitting the second transmission signal and for receiving the second reflection signal. The evaluation unit is configured to ascertain at least the structure of plants and a height value from the first reflection signal and the second reflection signal.

Abstract: A vehicular sensing system includes a plurality of multiple input multiple output (MIMO) radar sensor units disposed at a vehicle so as to have respective fields of sensing exterior of the vehicle. Each MIMO radar sensor unit includes a plurality of transmitting antennas and a plurality of receiving antennas, with each transmitting antenna transmitting radar signals and each receiving antenna receiving radar signals. Outputs of the individual MIMO radar sensor units of the plurality of MIMO radar sensor units are provided to an electronic control unit (ECU) using a communication protocol of the vehicle and, responsive to the outputs of the MIMO radar sensor units, the ECU detects objects present exterior the vehicle. The vehicular sensing system adjusts the total number of transmitting and receiving antennas utilized by the plurality of MIMO radar sensor units in accordance with complexity of a surrounding environment of the vehicle.

Abstract: An electronic device may utilize various methods or systems to determine whether the electronic device is indoors or outdoors. The electronic device transmits wireless signals (e.g., radio detection and ranging (RADAR) signals). The electronic device receives reflections of the wireless signals. Using these received reflections of the wireless signals, the electronic device determines whether a power amplitude of the reflections is greater than or equal to a threshold value. In response to a determination that the power amplitude is not greater than or equal to the threshold value, the electronic device operates in an outdoor mode or an indoor mode.

Abstract: A method for a radar system includes transmitting, by a transmit channel of the radar system, a frame comprising first, second, and third chirps. Each chirp has a chirp start frequency, and the chirp start frequency of the transmitted chirps is dithered. The method also includes receiving, by a receive channel of the radar system, a frame of reflected chirps based on the transmitted frame, and generating a digital intermediate frequency (IF) signal.

Abstract: A sequence of motion observations of a moving object are received from a first set of sensors. A first sequence of distance ratios are calculated based on the first sequence of motion observations. First transects are generated based on the first sequence of distance ratios. A first motion track of the moving object is produced based on: the first transects; and a map. A second set of sensors are determined employing the map. A second sequence of motion observations of the moving object are received from the second set of sensors. A second sequence of distance ratios for second pairs of the second set of sensors based on the second sequence of motion observations. Second transects are generated based on the second sequence of distance ratios. A second motion track is produced based on the first motion track, the second transects, and the map.

Abstract: A MIMO radar system.

Abstract: Object detection in a scene is based on lidar data and radar data of the scene. The lidar data and the radar data are transformed to a common coordinate system. Different radar point clusters are extracted from the radar data. Different lidar point clusters are extracted from the lidar data and each lidar point cluster is associated with a target object. A target object's velocity is estimated based on the movement of the respective lidar point cluster between consecutive lidar images. The estimated target object's velocity is compared with velocity information of a corresponding radar point cluster to identify corresponding radar and lidar point clusters.

Abstract: A smart radar data mining and target location corroboration system has a target incident processing system (TIPS) and target information system (TIS) that provide corroborating radar data in response to target incident data, to assist search and response personnel in responding to high-risk safety or security incidents involving an uncooperative vessel or aircraft. The TIPS rapidly mines large volumes of historical radar track data, accessible through the TIS, to extract corroborating radar data pertinent to the target incident data. The corroborating radar data include trajectories, last known radar position (LKRP) or first known radar position (FKRP) information believed to be associated with the target incident data.

Abstract: A method for detecting objects via a vehicular radar sensing system includes equipping a vehicle with a vehicular radar sensing system, the vehicular radar sensing system including a radar sensor. An analog input signal derived from received radio signals is converted, via a first ADC, into a first number of bits M. The first number of bits M is converted, via a DAC, into a first analog signal. A second analog signal is determined by subtracting, via a subtractor, the first analog signal from the analog input signal. The second analog signal is converted, via a second ADC, into a second number of bits K. A total number of bits N is established by concatenating the first number of bits M to the second number of bits K. A processor processes the total number of bits N to detect the object that the received radio signals are reflected from.

Abstract: The disclosure concerns a method for ascertaining at least one piece of integrity information relating to a location result of a GNSS-based location device of a vehicle in the event of an abruptly and significantly changing GNSS reception situation, comprising at least the following steps: (a) ascertaining the current ego position of the vehicle by means of the GNSS-based location device; (b) ascertaining at least one piece of integrity information relating to the ego position ascertained in step (a), by means of the GNSS-based location device; (c) detecting an abruptly and significantly changing or significantly altered GNSS reception situation; and (d) adapting the ascertainment of the at least one piece of integrity information for the changing or altered GNSS reception situation.

Abstract: Phase noise compensation can be performed in a primary radar system, such as in transceiver hardware. A first reflected reception signal can be received, corresponding to a reflection of a first transmission signal from an object, and a first measurement signal can be generated using mixing or correlation of the first reflected reception signal and the first transmission signal. A second measurement signal can be similarly generated from a second transmission signal and a second reflected reception signal. The first and second measurement signals include respective components including complex conjugate representations of each other. The components correspond to interfering components associated with phase noise, and such respective components can cancel each other to suppress phase noise.

Abstract: An apparatus for estimating the number of targets including a radar signal receiver configured to receive a radar signal that belongs to a detection signal transmitted by a radar and that is reflected by an object on the ground, and a controller configured to learn the number of targets by processing the received radar signal and to estimate the number of targets by processing a newly received radar signal based on the learned information.

Abstract: A method for providing at least one piece of target information relating to at least one object detected by a radar system of a vehicle, the following steps being carried out: providing a piece of detection information of the radar system; and carrying out a processing of the detection information, at least one windowing and at least one frequency analysis of the detection information being carried out for the purpose of providing therefrom the at least one piece of target information, the at least one piece of target information being provided with the aid of different window functions of the windowing, depending on an evaluation criterion, the evaluation criterion being specific to a signal strength of the target information.

Abstract: A method of operating a radar sensor system for determining a number of passengers in a vehicle passenger compartment. The radar sensor system includes at least one radar transmitting antenna and at least one radar receiving antenna and an evaluation and control unit for evaluating Doppler information from the received radar waves. The method includes: transmitting radar waves towards the vehicle passenger compartment; receiving radar waves reflected by a passenger or by passengers being present in the vehicle passenger compartment; generating received radar signals from the received radar waves; mathematically decomposing the received radar signals into a plurality of received signal components; providing values of the received signal components regarding a characteristic parameter to a classifier trained with a plurality of scenarios; identifying one of trained scenarios, based on the provided values; and generating an output signal indicative of the identified scenario.

Abstract: 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 field-of-view (FoV) with a first number of chirps in a first radio frequency (RF) signal and a second scan of the FoV with a second number of chirps 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 number of chirps in the first RF signal and classify the objects based on the second number of chirps in the second RF signal.

Abstract: A method of implementing frequency division multiple access (FDMA) in a radar system of a vehicle includes transmitting a chirp signal from each of a plurality of transmit elements of the radar system simultaneously. The chirp signal transmitted by each of the plurality of transmit elements increases or decreases linearly in frequency over a frequency range over a duration of time and the frequency range of the chirp signal transmitted by adjacent ones of the plurality of transmit elements partially overlapping. The method also includes processing a reflection received based on reflection of the chirp signal transmitted by the plurality of transmit elements by one or more objects and controlling an operation of the vehicle based on locating the one or more objects.

Abstract: A component-based system and method for rapidly generating artificial intelligence-enhanced real-time, multi-dimensional gridded aerial object classification and trajectory (state and orbital state vector) forecasts utilizing digital radar signals data collected at high rates of volume and velocity. The system performs data storage, retrieval, manipulation, communication, processing, and end user application tasks for accurate aerial object classification and vector forecasts. The data component serves as a data cache to store, retrieve, and manipulate data utilizing a plurality of functions under conditions of variable internet connectivity. The processing component includes an artificial intelligence machine learning component and logic for manipulating the data to generate gridded projections that are arrayed spatially and temporally.

Abstract: The vehicle control system comprises a vehicle speed acquisition device, a rotary-typed LIDAR and a controller. The vehicle speed acquisition device is configured to acquire traveling speed of a vehicle. The LIDAR is configured to acquire surrounding information of the vehicle using a laser beam. The controller is configured to control a rotational movement of the LIDAR. The controller is configured to execute processing to set a cycle of the rotational movement based on the traveling speed. In the setting processing, the controller is configured to set the cycle during the traveling speed is relatively fast to a longer cycle than that during the traveling speed is relatively slow.