The present invention relates to a method of estimating a velocity magnitude of a moving target in a horizontal plane using radar signals received by a radar detection system, the radar detection system being configured to resolve multiple dominant points of reflection, i.e. to receive a plurality of radar signals from the moving target in a single measurement instance of a single, wherein each of the resolved points of reflection is described by data relating to a range, an azimuth angle and a raw range rate of the points of reflection in said single radar measurement instance. The invention further relates to a radar detection system.

Disclosed is a method for detecting the approach of an object on a lateral side of a moving motor vehicle with door handles on lateral sides, each including an ultra-high-frequency antenna detecting a portable user apparatus near the vehicle and identifying it to validate hands-free access to the vehicle for the user, the method including: each antenna emitting an electromagnetic field, a first radiated power per steradian of which, in a first zone directed outside of the vehicle and defined by a first aperture angle, is greater than a second radiated power per steradian in a second, lateral zone directed toward the other antenna and defined by a second aperture angle; and, when the vehicle is moving, validating approach detection by antenna reception of an electromagnetic field emitted by the other antenna and reflected by the object, whose received power is higher than a predetermined minimum received power.

A radar system with on-system calibration for cross-coupling and gain/phase variations includes capabilities for radar detection and correction for system impairments to improve detection performance. The radar system is equipped with pluralities of transmit antennas and pluralities of receive antennas. The radar system uses a series of calibration measurements of a known object to estimate the system impairments. A correction is then applied to the beamforming weights to mitigate the effect of these impairments on radar detection. The estimation and correction requires no external measurement equipment and can be computed on the radar system itself.

Reliability of a target is appropriately determined. A target detection device detects a target around a vehicle based on sensor information measured by a plurality of sensors. The device includes: a first sensor; a second sensor; an integration processing unit that integrates detection information of the target of the first sensor and detection information of the target of the second sensor for each cycle; an integration history management unit that manages an integration result of the integration processing unit as an integration history in time series; and a reliability determination unit that determines reliability of a type of the target based on the integration history and the pieces of detection information of the target of the first sensor and the second sensor. The detection information of the target of the first sensor includes type information of the target.

A range setting unit sets, for each of tracked objects as objects being tracked, a connection range as a range in which the tracked object is estimated to be movable based on a state quantity of the tracked objects determined in the previous processing cycle. An association extraction unit extracts, for each of the tracked objects, a reflection point detected in the current processing cycle and positioned in the connection range as an associated reflection point. A state quantity update unit updates, for each of the tracked objects, the state quantity of the tracked objects in the current processing cycle, based on the previous state quantity and the state quantity of the associated reflection point.

Disclosed is a method for processing radar data of a vehicle. The method includes acquiring radar data from each of one or more radar antennas. The acquired radar data includes range rate (Doppler) data. The method includes determining beamvectors from the acquired radar data. The method includes filtering the beamvectors. The filtering includes removing, from the beamvectors, at least one of features corresponding to one or more moving targets or features corresponding to ambiguous range rate data, to determine filtered beamvectors. The method includes determining a characteristic of at least one of an environment of the vehicle or of the vehicle itself based on the filtered beamvectors.

A multi-chip MIMO radar system includes a plurality of transmitters and a plurality of receivers. Each of the pluralities of transmitters and receivers are arranged across a plurality of circuit chips. The multi-chip MIMO radar system includes a central processor configured to receive data from the plurality of circuit chips. The plurality of circuit chips generates sets of selected range, Doppler, and virtual receiver data. The central processor is operable to process the sets of selected range, Doppler, and virtual receiver data to produce selected range detection and angular resolvability of targets.

Disclosed is a method and apparatus for detecting an object using a radar in a vehicle, wherein object detection is performed by generating a transmission signal using a code sequence, receiving an echo signal reflected from an object, and detecting the object based on the echo signal and the code sequence.

One embodiment of the invention includes moving target indication (MTI) system. The system includes an MTI data processor configured to receive time-sampled location indicators associated with an approximate location of a moving target in a geographic scene of interest and to generate a moving target indicator associated with the moving target based on the time-sampled location indicators. The system also includes an image integrator configured to receive the moving target indicator associated with the moving target, to receive geography data associated with the geographic scene of interest, and to integrate the moving target indicator into the geography data as a three-dimensional moving target indicator at an approximate geographic location of the moving target.

A method and system to estimate a velocity of a target use a radar to transmit a linear frequency modulated chirp from each of a plurality of transmit elements and receive resulting reflections. The system also includes a processor to process the reflections resulting from a frame of chirps at a time and compute the velocity based on determining a number of the frames of chirps for the target to move a specified distance. The processor processes the reflections by performing a range fast Fourier transform (FFT) such that the specified distance is a range spanned by a range bin and each frame of chirps is one transmission of the chirp by each of the plurality of transmit elements.