A method for operating a sensor of a motor vehicle. The method includes: ascertaining an ego trajectory of the sensor, generating adaptation signals for adapting at least one operating parameter of the sensor based on the ascertained ego trajectory and outputting the adaptation signals in order to adapt the at least one operating parameter of the sensor based on the adaptation signals. A device, a sensor system, a motor vehicle, a computer program, and a machine-readable memory medium, are also described.

The Fractional Fourier Transform (FrFT) may be used to extract multiple radar targets in clutter where some targets may be relatively weak. To do this, stronger targets may be removed by rotating to the proper axis t.sub.a using rotational parameter a, in which the target signal becomes a strong tone. By searching for the maximum peak over all values of a, stronger moving target echoes can be found and notched out, and weaker targets can then be extracted.

The methods and device disclosed herein provide an array such as a Radio Frequency (FR) antenna array for measuring the array movement or displacement of the array relative to a reference location. In some cases the array may be attached to or in communication with the device. The array comprises at least two transducers (e.g. RF antennas), wherein at least one of the at least two transducers is configured to transmit a signal towards the object, and at least one transceiver attached to said at least two transducers, the at least one transceiver is configured to repetitively transmit at least one signal toward an object and receive a plurality of signals affected or reflected while the array is moved in proximity to the object/medium or scene; and at least one processor unit, configured to: process the affected signals to yield a plurality of signal measurements and compare said signal measurements obtained at different locations over time of said second object and calculate a movement of the object relative to a reference location.

A vehicular sensing system includes at least one radar sensor disposed at a vehicle and having a field of sensing exterior of the vehicle. The radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit signals and the receiving antennas receive the signals reflected off objects. Multiple scans of radar data are received at an electronic control unit (ECU) and processed at a processor of the ECU. The ECU detects presence of a plurality of objects exterior the equipped vehicle and within the field of sensing of the at least one radar sensor. The ECU, responsive at least in part to processing at the processor of the received multiple scans of captured radar data and received vehicle motion estimation, tracks objects detected in the received multiple scans over two or more scans.

A computer-implemented method for processing radar information comprises receiving synthetic aperture radar (SAR) data that specifics a sequence of radar acquisitions of a target area taken over a particular acquisition time. The method comprises forming a plurality of sub-aperture images, wherein each sub-aperture image is associated with radar acquisitions of the target area taken over a particular interval of the acquisition time. The method further comprises determining, based on the plurality of sub-aperture images, velocities associated with one or more target objects moving within the target area; and generating an image associated with the SAR data that depicts the one or more target objects and the velocities associated with one or more target objects.

A radar image processing device performs determination of a pixel including a ghost image and changes the value of the pixel which is determined to include the ghost image on a radar image the focus of which has been changed.

A method for space-variance correction imaging of BiSAR includes: motion parameters corresponding to a target point in an equivalent monostatic mode are calculated using a first motion trajectory, a second motion trajectory and an imaging parameter for focusing a radar echo signal, the target point at least including a center point of an imaging scene; azimuth Doppler center bias correction is performed on the radar echo signal by using the motion parameters corresponding to the center point; uniform and residual range cell migration correction is performed on a corrected signal, range blocking is performed, and range space-variance phase errors are corrected block by block; azimuth blocking is performed, and a corresponding number of filters are constructed for filtering processing; and inverse Doppler center bias correction is further performed to obtain a final imaging result graph.

The present application presents various techniques for improving the performance of range tracking motion compensation method for high resolution radar imaging. Three improved techniques are described herein: improved cross-correlation alignment through updates to the reference range profile to follow the target's changing illumination angle; improved cross-correlation alignment through local peak boosting; and, improved polynomial smoothing through subdivision into multiple windows.

In some examples, a first plurality of independent waveforms can be generated and converted into a first plurality of independent transmitted radar signals transmitted towards a field of view using a transmitter array comprising a first plurality of transmitter antennas. Further, a second plurality of receive radar signals to the first plurality of independent transmitted radar signals can be received from the field of view using a receiver array comprising a second plurality of receiver antennas. The second plurality of receive radar signals can be combined to form a combined receive radar signal and a representation of one or more areas of interest in the field of view can be provided using the combined receive radar signal. One or more attributes of the one or more areas of interest can be rendered using the representation of the one or more areas of interest.

An airborne radar system and signal interpretation approach that detects slow moving ground targets using angle and Doppler of Keystone formatting process, and is referred to as Angle-Doppler Keystone Formatting (ADK). ADK collapses the clutter ridge to a constant Doppler or to a constant angle, thereby transforming a clutter ridge in angle-Doppler space into a horizontal line of constant Doppler or a vertical line of constant angle. Clutter may then be filtered more effectively, such as by using multiple beams as the source of STAP training data or by using multiple Doppler bins.