An imaging system to reconstruct a reflectivity image of a scene including an object moving with the scene. A tracking system to track a deforming object to estimate an object deformation for each time step. Sensors acquire snapshots of the scene, each acquired snapshot of the object includes measurements in the object deformation for that time step, to produce a set of object measurements with deformed shapes over the time steps. Compute a correction to estimates of object deformation for each time step, with matching measurements of the corrected object deformation for each time step to measurements in the acquired snapshot of object for that time step. Select a corrected deformation over other corrected deformations for each time step, according to a distance between the corrected deformation and the estimate of the deformation, to obtain a final estimate of the deformation of the deformable object moving in the scene.

A radar imaging device having a mission to produce a radar image of a given target, comprising a step of determining the trajectory of the carrier of the imaging device comprises at least: a phase of determining a segment of trajectory for the picture capture, as a function of the position of the target and of the type of image to be produced, the picture capture segment being dedicated to the picture capture of the target by the imaging device; a phase of adding a segment of trajectory of stabilizing the carrier, situated upstream in the extension of the picture capture segment; a phase of addition of a segment of trajectory for homing the carrier onto the stabilizing segment.

An interrogator and system employing the same. In one embodiment, the interrogator includes a receiver configured to receive a return signal from a tag and a sensing module configured to provide a time associated with the return signal. The interrogator also includes a processor configured to employ synthetic aperture radar processing on the return signal in accordance with the time to locate a position of the tag.

A process and systems for constructing arbitrarily large virtual arrays using two or more collection platforms (e.g. AUX and MOV systems) having differing velocity vectors. Referred to as Motion Extended Array Synthesis (MXAS), the resultant imaging system is comprised of the collection of baselines that are created between the two collection systems as a function of time. Because of the unequal velocity vectors, the process yields a continuum of baselines over some range, which constitutes an offset imaging system (OIS) in that the baselines engendered are similar to those for a real aperture of the same size as that swept out by the relative motion, but which are offset by some (potentially very large) distance.

Systems and methods of precision landing in adverse conditions are provided. In one embodiment, a precision landing system comprises a vehicle including: a receiver configured to receive position information for structures and a landing zone of a landing site and a processor coupled to a memory, the memory includes three-dimensional geometric structural information for a landing site. The processor configured to: receive the position information from the receiver; assign geographical coordinates to the three-dimensional geometric structural information using the position information for the structures and the landing zone of the landing site; send the three-dimensional geometric structural information and graphical rendering information to a display device. The vehicle further includes a display device, wherein the display device is configured to render and display a three-dimensional representation of the landing site in real-time based on the three-dimension geometric structural information and the graphical rendering information from the processor.

A process and systems for constructing arbitrarily large virtual arrays using two or more collection platforms (e.g. AUX and MOV systems) having differing velocity vectors. Referred to as Motion Extended Array Synthesis (MXAS), the resultant imaging system is comprised of the collection of baselines that are created between the two collection systems as a function of time. Because of the unequal velocity vectors, the process yields a continuum of baselines over some range, which constitutes an offset imaging system (OIS) in that the baselines engendered are similar to those for a real aperture of the same size as that swept out by the relative motion, but which are offset by some (potentially very large) distance.

A localization method for locating a target that is coupled with a locator transponder associated with a permanent identification code permanently assigned to the locator transponder is provided. The localization method includes: a) transmitting a spread spectrum paging signal carrying the permanent identification code and a shorter temporary identification code temporarily assigned to the locator transponder; b) receiving the spread spectrum paging signal and extracting the temporary identification code carried by the received spread spectrum paging signal; c) transmitting radar signals towards area(s) of earth's surface or sky and receiving echo signals therefrom; d) upon reception by the locator transponder of radar signal(s), generating and transmitting a sequence of watermarked radar echo signals in which a spread spectrum watermarking signal is embedded that includes the temporary identification code; e) carrying out localization operations; f) transmitting frequency-synchronization-aid signal(s); g) receiving the frequency-synchronization-aid signal(s) and estimating a frequency drift affecting a reference frequency provided by a local oscillator of the locator transponder; wherein the locator transponder transmits the sequence of watermarked radar echo signals by using a transmission carrier frequency obtained based on the reference frequency provided by the local oscillator and on the estimated frequency drift.

A wind turbine which is configured to be disposed in or above a sea floor is provided. The wind turbine includes a tower configured to protrude from a sea level and having a transmitter configured to transmit an electromagnetic wave to be reflected on the sea level and a receiver configured to receive the reflected electromagnetic wave, wherein at least one of the transmitter and the receiver includes a leaky feeder; and a processing unit being in communication with the receiver and configured to analyse the reflected electromagnetic wave such that a wave characteristic of the sea level is determined.

A method comprising: obtaining an image; identifying a rotation angle for the image by processing the image with a first neural network; rotating the image by the identified rotation angle to generate a rotated image; classifying the image with a second neural network; and outputting an indication of an outcome of the classification, wherein the first neural network is trained, at least in part, based on a categorical distance between training data and an output that is produced by the first neural network.

Devices, systems, and methods for removing non-linearities in an inverse synthetic aperture radar (ISAR) image are provided. A method includes estimating pitch and roll about range and doppler axes of a time series of ISAR images including the ISAR image, interpolating ISAR image data based on the estimated pitch and roll resulting in interpolated ISAR image data, and resampling based on the interpolated ISAR image data and the time series of TSAR images resulting in an enhanced image.