Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging (Record no. 79568)
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000 -LEADER | |
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fixed length control field | 03041nam a22005775i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-74283-0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801221338.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180216s2018 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319742830 |
-- | 978-3-319-74283-0 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Leigsnering, Michael. |
245 10 - TITLE STATEMENT | |
Title | Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2018. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XX, 108 p. 38 illus., 21 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Springer Theses, Recognizing Outstanding Ph.D. Research, |
520 ## - SUMMARY, ETC. | |
Summary, etc | This thesis reports on sparsity-based multipath exploitation methods for through-the-wall radar imaging. Multipath creates ambiguities in the measurements provoking unwanted ghost targets in the image. This book describes sparse reconstruction methods that are not only suppressing the ghost targets, but using multipath to one’s advantage. With adopting the compressive sensing principle, fewer measurements are required for image reconstruction as compared to conventional techniques. The book describes the development of a comprehensive signal model and some associated reconstruction methods that can deal with many relevant scenarios, such as clutter from building structures, secondary reflections from interior walls, as well as stationary and moving targets, in urban radar imaging. The described methods are evaluated here using simulated as well as measured data from semi-controlled laboratory experiments. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-74283-0 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2018. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Lasers. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Geographic information systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer vision. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Laser. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Geographical Information System. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Vision. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2190-5061 |
912 ## - | |
-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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