Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first user equipment (UE) may transmit, to a second UE via reflection by one or more passive devices, a first reference signal (RS) that is based at least in part on a shared first key that corresponds to a configuration of the one or more passive devices. The first UE may receive, from the second UE via reflection, a second RS that is based at least in part on the first key. The first UE may generate a second key based at least in part on a measurement of the second RS. The first UE may transmit a positioning reference signal that is based at least in part on the second key and that is associated with a measurement of a range between the first UE and the second UE. Numerous other aspects are described.

Abstract: An apparatus and method for evaluating vehicle sensor performance are provided in which performances of various vehicle sensors are evaluated based on the same evaluation criteria. The apparatus estimates field of views (FoVs) of sensors based on acquired object information and divides each of the estimated FoVs into a plurality of grid cells. The object information corresponding to the respective grid cells is collected and mean errors and error variances of the object information are calculated. Performances of the sensors are then evaluated based on the calculated mean errors and error variances.

Abstract: An automotive radar arrangement includes a radar receiver configured to generate radar reception data from radio signals received by a plurality of radar receive antennas. A radar signal processor is configured to determine an estimate of an angular position of at least one object by processing the radar reception data. A communication interface is configured to receive information about a reference angular position of the at least one object. A determiner is configured to determine a compensation for the radar reception data based on the estimate of the angular position and the reference angular position of the at least one object. The radar signal processor is configured to correct the radar reception data and/or further radar reception data for the detection of a further object based on the compensation. An output interface is configured to provide information about the presence of the further object to a vehicle controller.

Abstract: A method and a system for detection and synthetic aperture (SA) imaging of a target are disclosed. The method may include illuminating a scene with a search signal transmitted from a moving platform, receiving a search return signal from a target present in the scene, and estimating, from the search return signal, the range and the angular location of the target. The method may also include generating an SA transmission signal and a local oscillator (LO) signal with a time delay therebetween based on the estimated range, and illuminating the scene with the SA transmission signal pointed along an imaging direction based on the estimated angular location of the target. The method may further include receiving an SA return signal from the target, mixing the SA return signal with the LO signal to generate SA signal data, and generating an SA image of the target from the SA signal data.

Abstract: According to the disclosure, a radar control device comprises a plurality of radars mounted to a vehicle, each of the plurality of radars having a different detection area outside the vehicle, and a controller generating object information for an object based on a radar signal reflected by the object within the detection area. When the object moves from the detection area of at least one of the plurality of radars to a shadow area between different detection areas, the controller generates prediction information for the object in the shadow area based on object information last detected in the detection area.

Abstract: A secondary echo and a primary echo subjected to topographic echo processing are compared with each other. When there is a topographic echo in the primary echo or the secondary echo determined as a strong echo, an echo resulting from removal of the topographic echo is defined as a strong-topographic-echo-removed reception signal. Electric power of the topographic echo in the secondary echo or the primary echo determined as a weak echo and the strong-topographic-echo-removed reception signal are defined as weak echo parameters. Electric power of the weak echo estimated from a reception signal in a weak echo region resulting from phase correction of a reception signal resulting from removal of a frequency component of the strong echo from the strong-topographic-echo-removed reception signal representing the weak echo parameter, a spectral width of the weak echo representing the weak echo parameter, and a Doppler velocity of the weak echo are provided as spectral parameters.

Abstract: The invention relates to a method for determining the detection threshold of a radar suited to a given environment, characterized in that it comprises at least: a step in which a set of statistical quantities characterizing said environment is selected; a step in which a set of functions is defined, each of said functions giving an intermediate detection threshold that is a function of statistical quantities taken from a subset of said set of statistical quantities; a step of combination of said intermediate detection thresholds, said detection threshold being the result of said combination.

Abstract: Signal processing circuitry includes at least one processor configured to obtain a digitized radar signal, and further configured, for one or more iterations, to: determine a first power of at least one first signal sample of the radar signal; determine a second power of at least one second signal sample of the radar signal, the at least one second signal sample being subsequent in time to the at least one first signal sample; and determine a difference value between the second power and the first power. The at least one processor further configured to detecting a burst interference signal occurring within the radar signal based on the one or more difference values from the one or more iterations.

Abstract: The invention relates to a versatile generation of radar signals for simulating a radar scenario. Radar signals may be generated by multiple RF output paths having different frequency ranges. Pulse descriptive words of radar signal simulation data are split into multiple groups according to the frequency or frequency range of the RF output paths and the split data are provided to the related RF output path.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of detecting user gestures in the presence of saturation. In particular, a radar system employs machine learning to compensate for distortions resulting from saturation. This enables gesture recognition to be performed while the radar system's receiver is saturated. As such, the radar system can forgo integrating an automatic gain control circuit to prevent the receiver from becoming saturated. Furthermore, the radar system can operate with higher gains to increasing sensitivity without adding additional antennas. By using machine learning, the radar system's dynamic range increases, which enables the radar system to detect a variety of different types of gestures having small or large radar cross sections, and performed at various distances from the radar system.

Abstract: A real-time automotive radar simulation tool is developed based on reduced statistical models summarized from physical-based asymptotic and full-wave simulations. Some models have been verified with measurements. The simulation tool can help save cost and time for the automotive industry, especially for autonomous vehicles. The simulation tool can also help develop new functionalities like target identification or classification as well as help prevent false alarms.

Abstract: Methods, systems, and devices for wireless communications are described. User equipment (UE), such as vehicles, may implement radar transmissions to detect and avoid potential collisions with a target such as other UE or pedestrians. A first UE may receive an indication of a location of a second UE and an indication of one or more parameters associated with radar transmission from the second UE. The first UE may also receive a radio frequency waveform that includes a first component associated with the radar transmissions from the second UE and a second component that is associated with reflected radar transmission from the first UE. The first UE may compensate for an interference from the first component based on the location of the second UE and the one or more parameters. The first UE may generate a radar image from the received radio frequency waveform based on compensating for the interference.

Abstract: One-dimensional data obtained by performing a Fourier transform on a digitally converted frequency modulated continuous wave (FMCW) radar signal at every pulse repetition interval is input to a recurrent neural network (RNN) to find the probability of the existence of a target in each range index. The range indices, i.e., bit frequencies are selected based on the probability. In order to reduce the size of the RNN, windowing may be applied. In addition, a speed-index-specific coefficient value may be calculated by accumulating and performing a Fourier transform on the selected bit frequencies in which the target exists over a plurality of pulse repetition intervals. Thus, it is possible to calculate the speed of the target.

Abstract: A method and system are provided to resolve Doppler ambiguity and multiple-input, multiple-output array phase compensation issues present in Time Division Multiplexing MIMO radars by estimating an unambiguous radial velocity measurement. Embodiments apply a disambiguation algorithm that dealiases the Doppler spectrum to resolve the Doppler ambiguity of a range-Doppler detection. Phase compensation is then applied for corrected reconstruction of the MIMO array measurements. The dealiasing processing first forms multiple hypotheses associated with the phase corrections for the radar transmitters based on a measured radial velocity of a range-Doppler cell being processed. A correct hypothesis, from the multiple hypotheses, is selected based on a least-spurious spectrum criterion. Using this approach, embodiments require only single-frame processing and can be applied to two or more transmitters in a TDM MIMO radar system.

Abstract: Encoded information means located on an infrastructure to be decoded by sensors located on mobiles, in such a way that these means encode the position they occupy in the infrastructure and allow for a mobile travelling along the same trajectory, provided with the adequate sensor, to read, decode and transform it immediately into information on its exact position in the infrastructure and being characterised by the fact that along the same trajectory described by a mobile it is possible to encode information in the infrastructure by means of different objects presenting dielectric change boundaries or dielectric/metal boundaries at different heights or distances regarding the origin of the onboard sensor, these boundaries being interrogated by a sensor on board the mobile by means of pressure or electromagnetic waves and by measuring the time the waves take to return to the sensor, making it possible to determine the distance at which the reflections occur and in this way to extract the information.

Abstract: The present invention relates to a device (20) for determining a radar target list, comprising: an input interface (22) for receiving preprocessed sensor data from a radar sensor (18) with information on detected strengths at high points (H1, H2) in a distance and/or velocity dimension and in predefined neighborhood ranges of the high points in the distance and/or velocity dimension; an analysis unit (24) for determining mutually adjacent high points with overlapping neighborhood ranges based on the preprocessed sensor data; an adjustment unit (26) for adjusting the neighborhood ranges of the mutually adjacent high points; and an evaluation unit (28) for determining a radar target list with information on targets (17) in a field of view of the radar sensor based on the high points and the neighborhood ranges thereof. The present invention also relates to a method for determining a radar target list and a sensor system (10) for detecting targets (17) in an environment (12) of a vehicle (14).

Abstract: A system and apparatus is provided for a modular radar system. The modular radar system can include a plurality of radar system modules that can be detachably coupled and can include a configurable number of radio-frequency (RF) transmit and receive assemblies. The RF transmit and receive assemblies can include radiating element(s) that emit electromagnetic radiation. The plurality of radar system modules can also include at least one processor coupled to control power of the electromagnetic radiation and/or at least one controller to control the RF transmit and receive assembly, the power unit and the digital receiver and exciter module, at least one digital receiver and exciter to convert RF to digital in receive mode, and digital to RF in transmit mode, and/or at least one RF beamformer to generate one or more RF beams.

Abstract: In an embodiment, a method includes: receiving a global trigger with a first millimeter-wave radar; receiving the global trigger with a second millimeter-wave radar; generating a first internal trigger of the first millimeter-wave radar after a first offset duration from the global trigger; generating a second internal trigger of the second millimeter-wave radar after a second offset duration from the global trigger; start transmitting first millimeter-wave radar signals with the first millimeter-wave radar based on the first internal trigger; and start transmitting second millimeter-wave radar signals with the second millimeter-wave radar based on the second internal trigger, where the second offset duration is different from the first offset duration, and where the first and second millimeter-wave radar signals are transmitted sequentially so as to exhibit no temporal overlap.

Abstract: A method of transmitting and receiving an orthogonal frequency division multiplexing (OFDM) signal for radio detection and ranging (radar) applications, and apparatuses performing the method are disclosed. The method includes receiving an OFDM signal in which a cyclic prefix (CP) is not included and converting the received OFDM signal to a received discrete time-domain signal through an analog-to-digital converter (ADC), selecting sub-carrier symbols to be input to a fast Fourier transform (FFT) from among all sub-carrier symbols included in the received discrete time-domain signal by performing windowing on the received discrete time-domain signal by a window that is based on an estimated value of a maximum delay that occurs potentially in a channel, converting the received discrete time-domain signal to a received frequency-domain signal by inputting the selected sub-carrier symbols to the FFT, and performing channel estimation based on the received frequency-domain signal.

Abstract: A system and method is disclosed for determining a particular vehicle state based on a UWB signal received at a plurality of receiving nodes. A plurality of channel-impulse responses (CIRs) may be computed from the UWB signal received from the plurality of receiving nodes. A plurality of peak-based features based on a selected position and amplitude may be extracted from the plurality of CIRs. A plurality of correlation-based features may be generated by correlating the plurality of CIRs to a corpus of reference CIRs relating to a plurality of vehicle states. A plurality of maximum likelihood vehicle matrices may be generated by correlating the plurality of CIRs to the corpus of reference CIRs relating to the plurality of vehicle states. The vehicle state may then be determined by processing the plurality of peak-based features and correlation-based features using the machine learning classification algorithm.