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Through-The-Wall Radar Imaging with Compressive Sensing: Theory, Practice and Future Trend-A Review

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dc.creator Abdalla, Abdi T
dc.date 2020-01-10T09:16:01Z
dc.date 2020-01-10T09:16:01Z
dc.date 2018
dc.date.accessioned 2021-05-03T13:17:01Z
dc.date.available 2021-05-03T13:17:01Z
dc.identifier 2507-7961
dc.identifier http://hdl.handle.net/20.500.11810/5361
dc.identifier.uri http://hdl.handle.net/20.500.11810/5361
dc.description Through-the-Wall Radar Imaging (TWRI) is an emerging technology which enables us to detect behind the wall targets using electromagnetic signals. TWRI has received considerable attention recently due to its diverse applications. This paper presents fundamentals, mathematical foundations and emerging applications of TWRI with special emphasis on Compressive Sensing (CS) and sparse image reconstruction.Multipath propagation stemming from the surrounding walls and nearby targets are among the impinging challenges.Multipath components produce replicas of the genuine target, ghosts, during image reconstruction which may significantly increase the probability of false alarm. The resulting ghost not only creates confusion with genuine targets but may deteriorate the performance of (CS) algorithms as described in this article. The results from a practical scenario show a promising future of the technology which can be adopted in real-life problems including rescue missions and military purposes
dc.language en_US
dc.publisher University of Dar es Salaam
dc.subject Aspect Dependence
dc.subject Compressive Sensing
dc.subject Multipath Ghost
dc.subject Multipath Exploitation
dc.subject Through-the-Wall Radar Imaging
dc.title Through-The-Wall Radar Imaging with Compressive Sensing: Theory, Practice and Future Trend-A Review
dc.type Journal Article, Peer Reviewed


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