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Article: Direction finding with partly calibrated uniform linear arrays

TitleDirection finding with partly calibrated uniform linear arrays
Authors
KeywordsDirection-Of-Arrival (Doa)
Estimation Of Signal Parameters Via Rotational Invariance Techniques (Esprit)
Partly Calibrated Arrays
Uniform Linear Array (Ula)
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8
Citation
IEEE Transactions On Antennas And Propagation, 2012, v. 60 n. 2 PART 2, p. 922-929 How to Cite?
AbstractA new method for direction finding with partly calibrated uniform linear arrays (ULAs) is presented. It is based on the conventional estimation of signal parameters via rotational invariance techniques (ESPRIT) by modeling the imperfections of the ULAs as gain and phase uncertainties. For a fully calibrated array, it reduces to the conventional ESPRIT algorithm. Moreover, the direction-of-arrivals (DOAs), unknown gains, and phases of the uncalibrated sensors can be estimated in closed form without performing a spectral search. Hence, it is computationally very attractive. The Cramér-Rao bounds (CRBs) of the partly calibrated ULAs are also given. Simulation results show that the root mean squared error (RMSE) performance of the proposed algorithm is better than the conventional methods when the number of uncalibrated sensors is large. It also achieves satisfactory performance even at low signal-to-noise ratios (SNRs). © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/155730
ISSN
2020 Impact Factor: 4.388
2015 SCImago Journal Rankings: 2.130
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiao, Ben_US
dc.contributor.authorChan, SCen_US
dc.date.accessioned2012-08-08T08:35:03Z-
dc.date.available2012-08-08T08:35:03Z-
dc.date.issued2012en_US
dc.identifier.citationIEEE Transactions On Antennas And Propagation, 2012, v. 60 n. 2 PART 2, p. 922-929en_US
dc.identifier.issn0018-926Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/155730-
dc.description.abstractA new method for direction finding with partly calibrated uniform linear arrays (ULAs) is presented. It is based on the conventional estimation of signal parameters via rotational invariance techniques (ESPRIT) by modeling the imperfections of the ULAs as gain and phase uncertainties. For a fully calibrated array, it reduces to the conventional ESPRIT algorithm. Moreover, the direction-of-arrivals (DOAs), unknown gains, and phases of the uncalibrated sensors can be estimated in closed form without performing a spectral search. Hence, it is computationally very attractive. The Cramér-Rao bounds (CRBs) of the partly calibrated ULAs are also given. Simulation results show that the root mean squared error (RMSE) performance of the proposed algorithm is better than the conventional methods when the number of uncalibrated sensors is large. It also achieves satisfactory performance even at low signal-to-noise ratios (SNRs). © 2011 IEEE.en_US
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8-
dc.relation.ispartofIEEE Transactions on Antennas and Propagationen_US
dc.subjectDirection-Of-Arrival (Doa)en_US
dc.subjectEstimation Of Signal Parameters Via Rotational Invariance Techniques (Esprit)en_US
dc.subjectPartly Calibrated Arraysen_US
dc.subjectUniform Linear Array (Ula)en_US
dc.titleDirection finding with partly calibrated uniform linear arraysen_US
dc.typeArticleen_US
dc.identifier.emailChan, SC:scchan@eee.hku.hken_US
dc.identifier.authorityChan, SC=rp00094en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/TAP.2011.2173144en_US
dc.identifier.scopuseid_2-s2.0-84857029429en_US
dc.identifier.hkuros225092-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84857029429&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume60en_US
dc.identifier.issue2 PART 2en_US
dc.identifier.spage922en_US
dc.identifier.epage929en_US
dc.identifier.isiWOS:000302720300023-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLiao, B=44661377800en_US
dc.identifier.scopusauthoridChan, SC=13310287100en_US
dc.identifier.issnl0018-926X-

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