G01S7/046

DETECTION AND ESTIMATION OF SPIN

An example method to determine an object spin rate may include receiving a radar signal of a particular object in motion. The method may further include converting the radar signal into an input vector. The method may also include providing the input vector as input to a neural network. The neural network may include access to a set of initial data that has been generated based on multiple initial radar signals of multiple initial objects in motion. The method may further include determining a spin rate of the particular object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the particular object in motion in view of the set of initial data. The analysis may include comparing one or more elements of the input vector to one or more elements of the set of initial data.

ECHO IMAGE DISPLAY DEVICE
20170248684 · 2017-08-31 · ·

An echo image display device includes a receiver, an information memory, an intermediate image production component, and a display component. The receiver is configured to receive a reception signal that is a reflection of a transmitted signal. The information memory is configured to store detection information about the reception signal received by the receiver and position information about the reception signal in association with each other. The intermediate image production component is configured to produce an intermediate image based on at least the detection information for the reception signal at an N-th scan, and the detection information for the reception signal at an N−1-th scan having the same position information as the position information for the reception signal at the N-th scan. The display component is configured to display the intermediate image produced by the intermediate image production component.

Detection and tracking of land, maritime, and airborne objects using a radar on a parasail

A method and apparatuses may be provided for detection, tracking, and classification of one or more land, maritime, or airborne objects using a real-aperture radar mounted on a parasail airborne platform. Both wide-area and localized radar surveillance can be provided, and the radar can be either a non-coherent radar or coherent radar. A method and apparatus may use a low-cost, rotating, single-beam, non-coherent, X-band radar that is mounted on an unmanned powered parasail and operated remotely like an Unattended Airborne System (UAS). The parasail, which may be expendable or recoverable, manned or unmanned, powered or unpowered, may have a low operational cost, can carry a heavy payload, stay on station for a long time, circle or move to a specified location for surveillance, operate at an optimal altitude and look-angle, and automatically cue or manually steer an EO/IR camera to a target of interest for classification and identification.

FLIGHT PATH INSPECTION DISPLAY
20220139238 · 2022-05-05 ·

A system for rendering flight path specific weather information receives mid-to-long range weather information and one or more flight paths. The weather information corresponding to each of the flight paths is segregated and divided into portions that may be rendered separately on a secondary display, reorganized to be enlarged to occupy the secondary display. Indicators of the aircraft location and destination are maintained on the secondary display with respect to the divided, reorganized flight paths. Each divided, reorganized flight path segment includes an artifice at a peripheral portion indicating where the flight path segments should be rejoined. Multiple flight paths may be processed and rendered to provide a detailed view of each path for pilot consideration.

Synthetic aperture radar image analysis system, synthetic aperture radar image analysis method, and synthetic aperture radar image analysis program

A synthetic aperture radar image analysis system 20 includes: a phase correlation determination means 21 which determines a strength of the phase correlation between a plurality of pixels in an image selected from among a plurality of images on the basis of the plurality of images that have been photographed by a synthetic aperture radar and show the same point; a shape determination means 22 which determines a degree of similarity between the shape of the distribution of the plurality of pixels and an object shape indicated by geospatial information; and an association means 23 which associates the plurality of pixels with the object on the basis of the determined strength of the phase correlation and the determined degree of similarity.

SYNTHETIC APERTURE RADAR IMAGE ANALYSIS SYSTEM, SYNTHETIC APERTURE RADAR IMAGE ANALYSIS METHOD, AND SYNTHETIC APERTURE RADAR IMAGE ANALYSIS PROGRAM
20210132214 · 2021-05-06 · ·

A synthetic aperture radar image analysis system 20 includes: a phase correlation determination means 21 which determines a strength of the phase correlation between a plurality of pixels in an image selected from among a plurality of images on the basis of the plurality of images that have been photographed by a synthetic aperture radar and show the same point; a shape determination means 22 which determines a degree of similarity between the shape of the distribution of the plurality of pixels and an object shape indicated by geospatial information; and an association means 23 which associates the plurality of pixels with the object on the basis of the determined strength of the phase correlation and the determined degree of similarity.

Device for detecting explosive materials, or weapons or firearms, or knives or substances
10948587 · 2021-03-16 ·

A device for detecting traces of explosive materials, weapons, firearms, knives or drugs is disclosed. The device is used a stand-alone device, or coupled to an explosive detector using mass spectrometry or ion mobility spectrometry technologies. The device comprises a plurality of sensors, a controller and a memory coupled to the processor. The sensors include radar, a position sensor, a camera and so on. The device scans a plurality of subjects in a field of regard. Based on the signals obtained from the sensors, the device determines presence of the explosive materials, weapons, firearms, knives or drugs and alerts a user of the device.

Detection and estimation of spin

An example method to determine an object spin rate may include receiving a radar signal of a particular object in motion. The method may further include converting the radar signal into an input vector. The method may also include providing the input vector as input to a neural network. The neural network may include access to a set of initial data that has been generated based on multiple initial radar signals of multiple initial objects in motion. The method may further include determining a spin rate of the particular object in motion based on an analysis performed by the neural network of the input vector including time and frequency information of the particular object in motion in view of the set of initial data. The analysis may include comparing one or more elements of the input vector to one or more elements of the set of initial data.

Echo image display device
10386459 · 2019-08-20 · ·

An echo image display device includes a receiver, an information memory, an intermediate image production component, and a display component. The receiver is configured to receive a reception signal that is a reflection of a transmitted signal. The information memory is configured to store detection information about the reception signal received by the receiver and position information about the reception signal in association with each other. The intermediate image production component is configured to produce an intermediate image based on at least the detection information for the reception signal at an N-th scan, and the detection information for the reception signal at an N1-th scan having the same position information as the position information for the reception signal at the N-th scan. The display component is configured to display the intermediate image produced by the intermediate image production component.

Low cost, high performance radar networks

A real-time radar surveillance system comprises at least one land-based non-coherent radar sensor apparatus adapted for detecting maneuvering targets and targets of small or low radar cross-section. The radar sensor apparatus includes a marine radar device, a digitizer connected to the marine radar device for receiving therefrom samples of radar video echo signals, and computed programmed to implement a software-configurable radar processor generating target data including detection data and track data, the computer being connectable to a computer network including a database. The processor is figured to transmit at least a portion of the target data over the network to the database, the database being accessible via the network by at least one user application that receives target data from the database, the user application providing a user interface for at least one user of the system.