Low Complexity Parameter Estimation For Off-the-Grid Targets

Handle URI:
http://hdl.handle.net/10754/621322
Title:
Low Complexity Parameter Estimation For Off-the-Grid Targets
Authors:
Jardak, Seifallah; Ahmed, Sajid; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
In multiple-input multiple-output radar, to estimate the reflection coefficient, spatial location, and Doppler shift of a target, a derived cost function is usually evaluated and optimized over a grid of points. The performance of such algorithms is directly affected by the size of the grid: increasing the number of points will enhance the resolution of the algorithm but exponentially increase its complexity. In this work, to estimate the parameters of a target, a reduced complexity super resolution algorithm is proposed. For off-the-grid targets, it uses a low order two dimensional fast Fourier transform to determine a suboptimal solution and then an iterative algorithm to jointly estimate the spatial location and Doppler shift. Simulation results show that the mean square estimation error of the proposed estimators achieve the Cram'er-Rao lower bound. © 2015 IEEE.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Jardak S, Ahmed S, Alouini M-S (2015) Low Complexity Parameter Estimation For Off-the-Grid Targets. 2015 Sensor Signal Processing for Defence (SSPD). Available: http://dx.doi.org/10.1109/SSPD.2015.7288509.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2015 Sensor Signal Processing for Defence (SSPD)
Conference/Event name:
5th Sensor Signal Processing for Defence, SSPD 2015
Issue Date:
5-Oct-2015
DOI:
10.1109/SSPD.2015.7288509
Type:
Conference Paper
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorJardak, Seifallahen
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2016-11-03T06:57:39Z-
dc.date.available2016-11-03T06:57:39Z-
dc.date.issued2015-10-05en
dc.identifier.citationJardak S, Ahmed S, Alouini M-S (2015) Low Complexity Parameter Estimation For Off-the-Grid Targets. 2015 Sensor Signal Processing for Defence (SSPD). Available: http://dx.doi.org/10.1109/SSPD.2015.7288509.en
dc.identifier.doi10.1109/SSPD.2015.7288509en
dc.identifier.urihttp://hdl.handle.net/10754/621322-
dc.description.abstractIn multiple-input multiple-output radar, to estimate the reflection coefficient, spatial location, and Doppler shift of a target, a derived cost function is usually evaluated and optimized over a grid of points. The performance of such algorithms is directly affected by the size of the grid: increasing the number of points will enhance the resolution of the algorithm but exponentially increase its complexity. In this work, to estimate the parameters of a target, a reduced complexity super resolution algorithm is proposed. For off-the-grid targets, it uses a low order two dimensional fast Fourier transform to determine a suboptimal solution and then an iterative algorithm to jointly estimate the spatial location and Doppler shift. Simulation results show that the mean square estimation error of the proposed estimators achieve the Cram'er-Rao lower bound. © 2015 IEEE.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCramér-Rao lower bounden
dc.subjectDoppleren
dc.subjectMIMO-radaren
dc.subjectReflection coefficienten
dc.subjectSpatial locationen
dc.titleLow Complexity Parameter Estimation For Off-the-Grid Targetsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2015 Sensor Signal Processing for Defence (SSPD)en
dc.conference.date9 September 2015 through 10 September 2015en
dc.conference.name5th Sensor Signal Processing for Defence, SSPD 2015en
kaust.authorJardak, Seifallahen
kaust.authorAhmed, Sajiden
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.