USA As Represented by Secretary of the Navy

Raghu G Raj

Christopher T Rodenbeck

Vishal Monga

Joshua B Beun

John Mckay

Ronald D Lipps

Systems and methods are provided for interrogating a moving acoustic source using radar and processing data using a selection of motion compensation techniques adapted from synthetic aperture radar (SAR) to remove the effects of linear and nonlinear target motion so that the range-Doppler map retains only vibration information in the Doppler dimension. Vibration and sound waveforms can thus be selectively reproduced at specific ranges directly from the radar baseband waveform, without the need for additional complex analysis or audio processing.

Vibrometry and sound reproduction of acoustic sources on moving platforms using radar

Systems and methods are provided for imaging that demonstrably outperform previous approaches (especially compressive sensing based approaches). Embodiments of the present disclosure provide and solve an imaging cost function via a stochastic approximation approach. By doing so, embodiments of the preset disclosure provide a significant means of generalization and flexibility to adapt to different application domains while being competitive in terms of computational complexity.

Tomographic imaging using fast stochastic hierarchical Bayesian systems and methods

Systems and method are provided for three-dimensional (3D) imaging by using Doppler and interferometric processing techniques for general planar phased arrays. Systems and methods according to embodiments of the present disclosure incorporate motion compensation techniques in a way that utilizes the full aperture of a phase array. Embodiments of the present disclosure can be applied to a variety of different radar imaging modalities, including X-band and millimeter wave (MMW) regimes.

Millimeter-wave airborne radar for 3-Dimensional imaging of moving and stationary targets

A method of reconstructing an image of an object, the method including: determining, by a plurality of sensors, a waveform based on the object, wherein the plurality of sensors view the object from a plurality of directions; determining, by a pre-processing module, a plurality of measurements of the object using the waveform, wherein the plurality of measurements are arranged in a vector form; determining, by an option module, a sampling matrix, a dictionary, and a noise factor, wherein the sampling matrix represents a geometric arrangement of the plurality of sensors, and the dictionary is pre-selected by the option module; estimating, by an estimation module, a coefficient vector using the measurements, the sampling matrix, and the noise factor; and reconstructing, by a reconstruction module, the image, using the coefficient vector and the dictionary.

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Fairfax Station, VA, United States of America

Raghu G Raj