Abstract:
A method for Doppler-enhanced radar tracking includes: receiving a reflected probe signal at a radar array; calculating a target range from the reflected probe signal; calculating a first target angle from the reflected probe signal; calculating a target composite angle from the reflected probe signal; and calculating a three-dimensional position of the tracking target relative to the radar array from the target range, first target angle, and target composite angle.
Abstract:
In an embodiment, a method includes: receiving a range-Doppler image (RDI) based on raw data from a radar sensor; performing moving target indication (MTI) filtering on the RDI to generate a first filtered radar image; performing constant false alarm rate (CFAR) detection on the first filtered radar image to generate a second filtered radar image; performing minimum variance distortionless response (MVDR) beamforming on the second filtered radar image to generate a range-angle image (RAI); performing CFAR detection on the RAI to generate a third filtered radar image; generating a point set based on the third filtered radar image; clustering targets of the point set; and tracking at least one of the clustered targets using a Kalman filter.
Abstract:
A radar attached laterally to airplane fuselage to detect obstacles on a collision course with a portion of the airplane facing the radar, comprises an emission antennal channel and reception antennal channels in the same plane, the form of the wave and field of angular coverage of the radar depending on the velocity of the airplane, the processing means comprising the steps: Establishing in the radar coordinate system a first distance/Doppler map allowing echoes to be separated into distance and Doppler resolution cells in a reception antennal channels; Establishing a second distance/Doppler map of smaller size by selecting a subset of distance/Doppler resolution cells corresponding to the possible positions of targets liable to collide with the wing of the airplane; Establishing new distance/Doppler maps by forming beams computationally from the subsets of distance resolution cells retained for each reception antennal channel; and Temporal integration, in each beam, of successive distance/Doppler maps.
Abstract:
In a method for mitigating the blurring effect in a radar image (40) obtained by a ground-based radar system, thereof, a Pulse Repetition Frequency (PRF) value is selected (110) in a radar sensor unit (30) such that radial velocity measurements of the targets of an observed scenario can be made up to a maximum unambiguous velocity vmax, a radial velocity threshold is also selected (101) to discriminate between substantially stationary targets and possible fast-moving targets having radial velocities vR, j≤v* and vR, f>v*, respectively. The scenario is conventionally scanned (120) by emitting transmission signals to the targets and receiving corresponding backscattered signals (23) from which raw data (25) are extracted (130), the latter in turn are Doppler-processed (140) so as to discriminate first and second data (31, 32) related to the substantially stationary and to the fast-moving target(s), respectively, according to whether the measured radial velocities (vR) are lower than the radial velocity threshold (v*) or not, respectively; second data are removed (150) from the Doppler-processed data (27) and radar image (40) is formed from remaining first data, i.e., based on the substantially stationary targets only. The method allows reducing the occurrence of artifacts due to fast-moving objects that are systematically present or that turn up in the scenario at the moment of taking an image thereof, such as truckloads or vehicle in general, as well as crane mobile portion in scenarios like a portion of a mine. (FIG. 11).
Abstract:
A method for Doppler-enhanced radar tracking includes: receiving a reflected probe signal at a radar array; calculating a target range from the reflected probe signal; calculating a first target angle from the reflected probe signal; calculating a target composite angle from the reflected probe signal; and calculating a three-dimensional position of the tracking target relative to the radar array from the target range, first target angle, and target composite angle.
Abstract:
Exemplary aspects are directed to or involve a radar transceiver to transmit signal and receive reflected radar signals via a communication channel. The exemplary method includes radar receiver data processing circuitry that may be used to differentiate a subset of representations of the received signals. This differentiation may be used to select signals that are more indicative of target(s) having a given range than other ones of the received signals. The received signal's representations may then be compressed by using variable-mantissa floating-point numbers having mantissa values that vary based, at least in part, on at least one strength characteristic of the respective representations.
Abstract:
A computer-implemented method executed by one or more satellites for assessing crop development by using synthetic aperture radar (SAR) is presented. The method includes generating SAR images from scanning fields including crops, monitoring grown of the crops within the fields during a predetermined time period, and estimating a height of the crops during the predetermined time period by using interferometric information from one or more of the SAR images and tracking change in height and growth rates. The method further includes differentiating between crops in different fields by monitoring changes in the height of the crops during an entire growing season.