A system including a polarized RF scanning reference source and one or more cavity sensor receivers.

A radar system includes a transmit front end device including a transmit planar component, and a receive front end device including a receive planar component. Each of the transmit planar component and the receive planar component includes a first end, a second end, a cavity space and a linear array of antennas. The cavity space is bounded by beam ports along a first side of the cavity space and by array ports along a second side of the cavity space. The cavity space is in operative communication with the beam ports and with the array ports to form a Rotman lens. A linear array of antennas is located along the second end of the planar component. The transmit planar component and receive planar component are arranged such that the linear array of antennas of the transmit planar component and the linear array of antennas are perpendicular to one another.

Example embodiments relate to techniques that involve detecting and mitigating automotive interference. Electromagnetic signals propagating in the environment can be received by a radar unit that limits the signals received to a particular angle of arrival with reception antennas that limit the signals received to a particular polarization. Filters can be applied to the signals to remove portions that are outside an expected time range and an expected frequency range that depend on radar signal transmission parameters used by the radar unit. In addition, a model representing an expected electromagnetic signal digital representation can be used to remove portions of the signals that are indicative of spikes and plateaus associated with signal interference. A computing device can then generate an environment representation that indicates positions of surfaces relative to the vehicle using the remaining portions of the signals.

A reflectivity correction method using a double polarization variable-based bright band detection result includes a preprocessing operation for correcting a double polarization variable observation error and calculating a depolarization ratio; a fuzzy classifier generation operation for calculating a weighting and a membership function of each characteristic variable using a bright band height extracted from a quasi-vertical profile generated from specific elevation angle data, a bright band detection operation for detecting a bright band using a depolarization ratio and a fuzzy classifier for each elevation angle, and a reflectivity correction operation for correcting reflectivity over-observation for a detected bright band region on the basis of a correction factor calculated using an apparent profile of reflectivity generated by averaging reflectivity data for the bright band region for each elevation angle. Thus, it is possible to improve the accuracy of precipitation estimation by using the corrected reflectivity.

To provide a precipitation particle classification apparatus for obtaining a proper classification result of precipitation particles based on information from a plurality of radar devices. The precipitation particle classification apparatus includes a data processing part, a fuzzy processing part, a coordinate conversion part, an interpolation part, and a classification part. The data processing part acquires polarization parameters obtained by reflection on the precipitation particles from each of the plurality of radar devices which are arranged at different positions and have a part of a scanning area overlapping with each other. The fuzzy processing part obtains a polar coordinate distribution evaluation value indicating the distribution in polar coordinates of an evaluation value indicating the degree of attribution to each type of precipitation particles from polarization parameters by using a fuzzy inference. The coordinate conversion part converts the polar coordinate distribution evaluation value into the Cartesian coordinate distribution evaluation value. The interpolation part integrates the Cartesian coordinate distribution evaluation values whose positions on the coordinates are substantially equal among the Cartesian coordinate distribution evaluation values obtained for each of the plurality of radar devices to obtain a composite evaluation value. The classification part classifies precipitation particle species based on the composite evaluation value.

A system for stand-off screening of individuals and/or an item of baggage carried by an individual. The system including: a sensor array, the sensor array including: an optical sensor, configured to collect data indicative of a position of the individual and/or the presence and dimension of the item of baggage relative to the optical sensor; a first radar sensor, configured to collect data indicative of: properties of objects concealed under clothing worn by the individual and/or properties of one or more objects within the item of baggage; an acoustic sensor, configured to collect data indicative of: properties of objects concealed under clothing worn by the individual and/or properties of one or more objects within the item of baggage. The system also includes a processor, configured to combine the data collected from the optical sensor, the first radar sensor, and the acoustic sensor, and to derive a risk estimation for the individual and/or the item of baggage carried by the individual based on the combined data.

An apparatus for composition for dual-polarization weather radar observation data includes: a coordinate system converting unit that converts a reference grid of an orthogonal coordinate system into a grid of a dual-polarization weather radar spherical coordinate system based on a latitudinal-longitudinal coordinate system for each individual dual-polarization weather radar by using an earth spherical coordinate system; a CAPPI data generating unit that generates CAPPI data based on the orthogonal coordinate system after mapping individual items of dual-polarization weather radar observation data on grid coordinates of the dual-polarization weather radar spherical coordinate system; and a CAPPI data compositing unit that performs composition of CAPPI data for each of the individual dual-polarization weather radars located at the same coordinate of the orthogonal coordinate system obtained by mapping the individual items of dual-polarization weather radar observation data thereon.

Antennas oriented at a first orientation toward an area of interest can transform radar signals through a first transformation that physically maps the plurality of radar signals with a plurality of unique beam angles corresponding to a plurality of unique frequencies. Antennas oriented at a second orientation toward the area of interest can transform radar signals through a second transformation completing the first transformation. A frequency scan can be performed on a first plurality of responses to first radar signals to identify first spatial data along a first dimension. Second spatial data at second spatial location along a second dimension can be created from a second plurality of responses corresponding to the second transformation. An image can be generated using the first spatial data and the second spatial data while a range value of the area of interest can be determined using the first plurality of responses.

A terahertz security inspection robot is provided, including: a housing including a main housing and a head housing rotatably connected to the main housing; a terahertz wave imaging mechanism including a mirror assembly arranged in the head housing and a detector array arranged in the main housing; and a rotating mechanism configured to cause the head housing and the mirror assembly located in the head housing to rotate with respect to the main housing, so that the mirror assembly of the terahertz wave imaging mechanism is oriented in different directions to respectively perform terahertz scanning and imaging on objects to be inspected in different inspection regions in a security inspection scene.

A method of protecting humans in an environment of a moving machine is provided that comprises the environment being monitored by means of a protective device that is configured to detect one or more kinematic parameters of a respective object located in the environment and controlling the moving machine in dependence on detected kinematic parameters of the respective object to initiate a protective measure. The protective equipment here detects the polarization properties and a movement modulation of the respective object in dependence on which the respective object is classified with respect to whether the respective object is a human. In particular only when the respective object was classified as a human, the protective equipment controls the moving machine to initiate the protective measure in dependence on detected kinematic parameters of this respective object.