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.

Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

The present disclosure relates to a method and apparatus for phase unwrapping of an SAR interferogram based on an SAR offset tracking surface displacement model, in which the apparatus according to the present disclosure includes a Synthetic Aperture Radar (SAR) image acquisition unit that acquires two SAR images of a same object acquired at different times, a single look complex (SLC) image production unit that produces two SLC images corresponding to each of the two SAR images, an interferogram production unit that generates an SAR interferogram using SAR interferometry for the two SLC images, a surface displacement model production unit that produces an offset tracking surface displacement model using SAR offset tracking method for the two SLC images, an unwrapped residual interferogram generation unit that generates a residual interferogram by subtracting the SAR interferogram and the offset tracking surface displacement model, and generates an unwrapped residual interferogram by unwrapping the generated residual interferogram, and an unwrapped interferogram generation unit that generates an unwrapped SAR interferogram by adding the unwrapped residual interferogram to the offset tracking surface displacement model.

This document describes techniques for fine-motion virtual-reality or augmented-reality control using radar. These techniques enable small motions and displacements to be tracked, even in the millimeter or sub-millimeter scale, for user control actions even when those actions are small, fast, or obscured due to darkness or varying light. Further, these techniques enable fine resolution and real-time control, unlike conventional RF-tracking or optical-tracking techniques.

A computing machine receives a real synthetic aperture radar (SAR) image including one or more targets. The real SAR image is one of a plurality of real SAR images in a training set. The computing machine generates, for the real SAR image, a model-based target shadow background (TSB) image using a three-dimensional (3D) model of the target. The computing machine generates, for the real SAR image and using an auto-encoder engine, an auto-encoder-generated TSB image using an artificial neural network (ANN). The computing machine computes, using a discriminator engine, an image difference between the auto-encoder-generated TSB image and the model-based TSB image. The computing machine adjusts weights in the auto-encoder engine based on the computed image difference.

Techniques are described herein that enable advanced gaming and virtual reality control using radar. These techniques enable small motions and displacements to be tracked, even in the millimeter or submillimeter scale, for user control actions even when those actions are optically occluded or obscured.

The various technologies presented herein relate to utilizing direction of arrival (DOA) data to determine various flight parameters for an aircraft A plurality of radar images (e.g., SAR images) can be analyzed to identify a plurality of pixels in the radar images relating to one or more ground targets. In an embodiment, the plurality of pixels can be selected based upon the pixels exceeding a SNR threshold. The DOA data in conjunction with a measurable Doppler frequency for each pixel can be obtained. Multi-aperture technology enables derivation of an independent measure of DOA to each pixel based on interferometric analysis. This independent measure of DOA enables decoupling of the aircraft velocity from the DOA in a range-Doppler map, thereby enabling determination of a radar velocity. The determined aircraft velocity can be utilized to update an onboard INS, and to keep it aligned, without the need for additional velocity-measuring instrumentation.

A synthetic aperture radar (SAR) generates concurrent first radar pulses in first frequency channels. The SAR transmits, and receives returns of, the concurrent first radar pulses by first antenna feeds that form first beams in the first frequency channels and that are directed to respective first subswaths of a swath on the Earth separated by subswath gaps. The SAR generates concurrent second radar pulses in second frequency channels. The SAR transmits, and receives returns of, the concurrent second radar pulses by second antenna feeds configured to form second beams in the second frequency channels and that are directed to respective second subswaths of the swath on the Earth and that coincide with the subswath gaps. The SAR processes the returns of the first radar pulses from the first subswaths and the returns of the second radar pulses from the second subswaths to form a SAR image contiguous across the swath.

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.

A signal processor 2 is configured so as to compensate for a peak shift of the distance between an SAR sensor 1 and a target, the peak shift occurring in the received signal subjected to range compression performed by an image reconstruction processing unit 14 due to a movement of the SAR sensor 1 during a time period until a reflected wave of a pulse signal is received by the SAR sensor 1 after the pulse signal is emitted from the SAR sensor 1. As a result, even when the SAR sensor 1 moves, an SAR image in which no azimuth ambiguity occurs can be reconstructed.