Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW

Handle URI:
http://hdl.handle.net/10754/625013
Title:
Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW
Authors:
Ahmed, Sajid; Jardak, Seifallah; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
The estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Ahmed S, Jardak S, Alouini M-S (2016) Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2016.7906007.
Publisher:
IEEE
Journal:
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Conference/Event name:
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016
Issue Date:
12-May-2017
DOI:
10.1109/GlobalSIP.2016.7906007
Type:
Conference Paper
Sponsors:
This research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).
Additional Links:
http://ieeexplore.ieee.org/document/7906007/
Appears in Collections:
Conference Papers; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAhmed, Sajiden
dc.contributor.authorJardak, Seifallahen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-06-14T12:17:34Z-
dc.date.available2017-06-14T12:17:34Z-
dc.date.issued2017-05-12en
dc.identifier.citationAhmed S, Jardak S, Alouini M-S (2016) Low complexity algorithms to independently and jointly estimate the location and range of targets using FMCW. 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Available: http://dx.doi.org/10.1109/GlobalSIP.2016.7906007.en
dc.identifier.doi10.1109/GlobalSIP.2016.7906007en
dc.identifier.urihttp://hdl.handle.net/10754/625013-
dc.description.abstractThe estimation of angular-location and range of a target is a joint optimization problem. In this work, to estimate these parameters, by meticulously evaluating the phase of the received samples, low complexity sequential and joint estimation algorithms are proposed. We use a single-input and multiple-output (SIMO) system and transmit frequency-modulated continuous-wave signal. In the proposed algorithm, it is shown that by ignoring very small value terms in the phase of the received samples, fast-Fourier-transform (FFT) and two-dimensional FFT can be exploited to estimate these parameters. Sequential estimation algorithm uses FFT and requires only one received snapshot to estimate the angular-location. Joint estimation algorithm uses two-dimensional FFT to estimate the angular-location and range of the target. Simulation results show that joint estimation algorithm yields better mean-squared-error (MSE) for the estimation of angular-location and much lower run-time compared to conventional MUltiple SIgnal Classification (MUSIC) algorithm.en
dc.description.sponsorshipThis research was funded by a grant from the office of competitive research funding (OCRF) at the King Abdullah University of Science and Technology (KAUST).en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7906007/en
dc.subjectEstimationen
dc.subjectMultiple signal classificationen
dc.subjectRadaren
dc.subjectReceiving antennasen
dc.subjectTransmittersen
dc.titleLow complexity algorithms to independently and jointly estimate the location and range of targets using FMCWen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journal2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)en
dc.conference.date2016-12-07 to 2016-12-09en
dc.conference.name2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016en
dc.conference.locationWashington, DC, USAen
kaust.authorAhmed, Sajiden
kaust.authorJardak, Seifallahen
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.