Joint Compressed Sensing and Spread Spectrum Through-the-Wall Radar Imaging
نویسندگان
چکیده
منابع مشابه
Compressed sensing for radio interferometry: spread spectrum imaging techniques
We consider the problem of reconstruction of astrophysical signals probed by radio interferometers with baselines bearing a non-negligible component in the pointing direction. The visibilities measured essentially identify with a noisy and incomplete Fourier coverage of the product of the planar signals with a linear chirp modulation. We analyze the related spread spectrum phenomenon and sugges...
متن کاملCompressive sensing for through-the-wall radar imaging
Through-the-Wall Radar imaging (TWRI) is emerging as a viable technology for providing high quality imagery of enclosed structures. TWRI makes use of electromagnetic waves to penetrate through building wall materials. Due to the " see " through ability, TWRI has attracted much attention in the last decade and has found a variety of important civilian and military applications. Signal processing...
متن کاملThrough - Wall Imaging Radar
Knock and announce missions occur frequently on the urban battlefield. It would be advantageous to locate all of the humans inside an urban structure and obtain a "head count" prior to action. For this reason, we developed a through-wall radar sensor capable of locating moving targets through concrete-walled structures and of displaying the results (in range versus cross range) at a video frame...
متن کاملAccelerating Magnetic Resonance Imaging through Compressed Sensing Theory in the Direction space-k
Magnetic Resonance Imaging (MRI) is a noninvasive imaging method widely used in medical diagnosis. Data in MRI are obtained line-by-line within the K-space, where there are usually a great number of such lines. For this reason, magnetic resonance imaging is slow. MRI can be accelerated through several methods such as parallel imaging and compressed sensing, where a fraction of the K-space lines...
متن کاملCompressed Sensing based Diffusion Spectrum Imaging
Introduction: Several methods are currently used to resolve multiple fibers within a voxel including Q-space imaging such as DSI and QBI. These approaches are generally limited by the burden of dense sampling in Q-space to avoid aliasing, which makes their application to clinical studies difficult. However, compressed sensing (CS) can attain almost perfect reconstruction from incomplete random ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: 2169-3536
DOI: 10.1109/access.2020.3048184