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A time domain phase-gradient based ISAR autofocus algorithm

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dc.contributor.author Nel, Willem AJ
dc.contributor.author Giusti, E
dc.contributor.author Martorella, M
dc.contributor.author Abdul Gaffar, MY
dc.date.accessioned 2012-02-02T07:44:50Z
dc.date.available 2012-02-02T07:44:50Z
dc.date.issued 2011-10
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
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
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


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