Optical modality configured to simulate measurements of the radar cross-section of targets, dimensioned to be conventionally-measured in the RF-portion of the electromagnetic spectrum, with sub-micron accuracy. A corresponding compact optical system, with a foot-print comparable with a tabletop, employing optical interferometric time-of-flight approach to reproduce, on a substantially shorter time-scale, radar-ranging measurements ordinarily pertaining to the range of frequencies that are at least 10.sup.3 times lower than those employed in the conventional RF-based measurement.

A sensing system for a vehicle includes at least one radar sensor disposed at the vehicle and having a field of sensing exterior of the vehicle. The at least one radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit signals and the receiving antennas receive the signals reflected off objects. Multiple scans of radar data sensed by the at least one radar sensor are received at a control, and a vehicle motion estimation is received at the control. The control, responsive to received scans of sensed radar data, detects the presence of one or more objects exterior the vehicle and within the field of sensing of the at least one radar sensor. The control, responsive to the received scans of sensed radar data and the received vehicle motion estimation, matches objects detected in the scans and determines angles toward the detected objects.

A method and a system for detection and synthetic aperture (SA) imaging of a target are disclosed. The method may include illuminating a scene with a search signal transmitted from a moving platform, receiving a search return signal from a target present in the scene, and estimating, from the search return signal, the range and the angular location of the target. The method may also include generating an SA transmission signal and a local oscillator (LO) signal with a time delay therebetween based on the estimated range, and illuminating the scene with the SA transmission signal pointed along an imaging direction based on the estimated angular location of the target. The method may further include receiving an SA return signal from the target, mixing the SA return signal with the LO signal to generate SA signal data, and generating an SA image of the target from the SA signal data.

A radiofrequency identification (RFID) reader device includes a radiofrequency device configured to transmit and receive electromagnetic radiation through an antenna array. An RFID control computing device is coupled to the radiofrequency device and includes a memory coupled to a processor which is configured to be capable of executing programmed instructions comprising and stored in the memory to operate the radiofrequency device in a first mode to transmit a first radiofrequency beam to a scan area through the antenna array. A spatial location for RFID tags located within the scanned area is determined from a radar image. The radiofrequency device is operated in a second mode to transmit a second radiofrequency beam to at least one of the RFID tags, based on the determined spatial location of the RFID tags, to power an integrated circuit or sensor located on and to communicate with the at least one of the RFID tags.

A radar sensing system for a vehicle includes a transmitter configured for installation and use on a vehicle and able to transmit radio signals. The radar sensing system also includes a receiver and a processor. The receiver is configured for installation and use on the vehicle and is able to receive radio signals that include transmitted radio signals reflected from objects in the environment. The processor samples the received radio signals to produce a sampled stream. The processor processes the sampled stream such that the sampled stream is correlated with various delayed versions of a baseband signal. The correlations are used to determine an improved range, velocity, and angle of targets in the environment.

A method of an advanced communication apparatus (102, 116) in a wireless communication system (100) is provided. The method comprises generating a digital waveform with a polyphase coding based on a multi-input multi-output (MIMO) and orthogonal frequency division multiplexing (OFDM) processing, processing the digital waveform with beamforming in Azimuth, modulating the processed digital waveform using a predetermined modulation function, transmitting, to a target object (1413, 1514, 1614) via a transmit antenna (1412, 1513, 1613) comprising at least one one-dimensional (1D) linear array in Azimuth, a first signal that is modulated by the predetermined modulation function, and receiving a second signal via a receive antenna that is constructed from one or more 1D arrays in elevation, wherein the second signal is reflected or backscattered from the target object.

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.

In an embodiment, a method for completing measurements for a uniform linear array from measurements from a sparse linear array is provided. The method includes: receiving a first set of measurements for a sparse linear array by a computing device; generating a second set of measurements for a uniform linear array from the first set of measurements by the computing device; and using matrix completion to determine values for a plurality of missing elements of the generated second set of measurements for the uniform linear array by the computing device.

Systems, methods, tangible non-transitory computer-readable media, and devices associated with sensor output segmentation are provided. For example, sensor data can be accessed. The sensor data can include sensor data returns representative of an environment detected by a sensor across the sensor's field of view. Each sensor data return can be associated with a respective bin of a plurality of bins corresponding to the field of view of the sensor. Each bin can correspond to a different portion of the sensor's field of view. Channels can be generated for each of the plurality of bins and can include data indicative of a range and an azimuth associated with a sensor data return associated with each bin. Furthermore, a semantic segment of a portion of the sensor data can be generated by inputting the channels for each bin into a machine-learned segmentation model trained to generate an output including the semantic segment.

A method for detecting a horizontally buried linear object is provided, the horizontally buried linear object having a longitudinal extension. The method comprises moving, with a flying platform comprising a radar for synthetic aperture radar, SAR, vertical imaging, along a trajectory corresponding to a synthetic aperture. The method further comprises transmitting and receiving radar signals while moving along the trajectory corresponding to the synthetic aperture. The method also comprises forming a SAR image based on collected data representing radar signal reflections received from the ground. The method additionally comprises detecting one or more features in the formed SAR image relating to the horizontally buried linear object. Said trajectory is oriented in a direction substantially perpendicular to an expected orientation of the longitudinal extension of the horizontally buried object and traversing the horizontally buried object.