dc.contributor.author |
Nel, Willem AJ
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|
dc.contributor.author |
Giusti, E
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|
dc.contributor.author |
Martorella, M
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dc.contributor.author |
Abdul Gaffar, MY
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dc.date.accessioned |
2012-02-02T07:44:50Z |
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dc.date.available |
2012-02-02T07:44:50Z |
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dc.date.issued |
2011-10 |
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dc.identifier.citation |
Nel, W, Giusti, E, Martorella, M et al. A time domain phase-gradient based ISAR autofocus algorithm. 2011 CIE International Conference on Radar, California Garden Hotel, Chengdu, China, 24-27 October 2011 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/10204/5548
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|
dc.description |
2011 CIE International Conference on Radar, California Garden Hotel, Chengdu, China, 24-27 October 2011. This is the post print version of the work. © 2011 EEE. Reprinted, with permission, from Nel, W, Giusti, E, Martorella, M et al. A time domain phase-gradient based ISAR autofocus algorithm. 2011 CIE International Conference on Radar, California Garden Hotel, Chengdu, China, 24-27 October 2011. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of CSIR Information Services' products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
en_US |
dc.description.abstract |
Autofocus is a well known required step in ISAR (and SAR) processing to compensate translational motion. This research proposes a time domain autofocus algorithm and discusses its relation to the well known phase gradient autofocus (PGA) technique. Results on simulated and measured data show that the algorithm performs well. Unlike many other ISAR autofocus techniques, the algorithm does not make use of several computationally intensive iterations between the data and image domains as part of the autofocus process. As such, the proposed algorithm could prove to be faster than other techniques. Observations are made regarding the type of phase errors that can be handled, and it is argued that the technique could be posed either as parametric or nonparametric depending on the type of phase errors expected. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;7897 |
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dc.subject |
ISAR |
en_US |
dc.subject |
Autofocus |
en_US |
dc.subject |
Phase gradient |
en_US |
dc.subject |
Time-domain |
en_US |
dc.title |
A time domain phase-gradient based ISAR autofocus algorithm |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Nel, W., Giusti, E., Martorella, M., & Abdul Gaffar, M. (2011). A time domain phase-gradient based ISAR autofocus algorithm. IEEE. http://hdl.handle.net/10204/5548 |
en_ZA |
dc.identifier.chicagocitation |
Nel, W, E Giusti, M Martorella, and MY Abdul Gaffar. "A time domain phase-gradient based ISAR autofocus algorithm." (2011): http://hdl.handle.net/10204/5548 |
en_ZA |
dc.identifier.vancouvercitation |
Nel W, Giusti E, Martorella M, Abdul Gaffar M, A time domain phase-gradient based ISAR autofocus algorithm; IEEE; 2011. http://hdl.handle.net/10204/5548 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Nel, W
AU - Giusti, E
AU - Martorella, M
AU - Abdul Gaffar, MY
AB - Autofocus is a well known required step in ISAR (and SAR) processing to compensate translational motion. This research proposes a time domain autofocus algorithm and discusses its relation to the well known phase gradient autofocus (PGA) technique. Results on simulated and measured data show that the algorithm performs well. Unlike many other ISAR autofocus techniques, the algorithm does not make use of several computationally intensive iterations between the data and image domains as part of the autofocus process. As such, the proposed algorithm could prove to be faster than other techniques. Observations are made regarding the type of phase errors that can be handled, and it is argued that the technique could be posed either as parametric or nonparametric depending on the type of phase errors expected.
DA - 2011-10
DB - ResearchSpace
DP - CSIR
KW - ISAR
KW - Autofocus
KW - Phase gradient
KW - Time-domain
LK - https://researchspace.csir.co.za
PY - 2011
T1 - A time domain phase-gradient based ISAR autofocus algorithm
TI - A time domain phase-gradient based ISAR autofocus algorithm
UR - http://hdl.handle.net/10204/5548
ER - |
en_ZA |