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• W2558322063 abstract "We propose an online blind deconvolution approach to sequential through-the-wall-radar-imaging (TWI) where the received signal is contaminated by front wall ringing artifacts. The sequential measurements correspond to individual transmitter-receiver pairs where the front wall ringing induces a multipath kernel that corrupts the received target reflections. The convolution kernels may vary across sequential measurements but are assumed to be shared among targets viewed by a single measurement. Our approach extends recent convex programming formulations for blind deconvolution to the sequential measurement scenario by formulating it as a low-rank tensor recovery problem. We develop a stochastic gradient descent algorithm that is capable of recovering the sparse scene and separating out the delay convolution kernels. We demonstrate the recovery capabilities of our approach on a synthetic scene as well as with real TWI radar measurements." @default.
• W2558322063 created "2016-12-08" @default.
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• W2558322063 date "2016-09-01" @default.
• W2558322063 modified "2023-09-23" @default.
• W2558322063 title "Online blind deconvolution for sequential through-the-wall-radar-imaging" @default.
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• W2558322063 doi "https://doi.org/10.1109/cosera.2016.7745700" @default.
• W2558322063 hasPublicationYear "2016" @default.
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