File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: DOA estimation and tracking of ULAs with mutual coupling

TitleDOA estimation and tracking of ULAs with mutual coupling
Authors
Issue Date2012
Citation
IEEE Transactions on Aerospace and Electronic Systems, 2012, v. 48 n. 1, p. 891-905 How to Cite?
AbstractA class of subspace-based methods for direction-of-arrival (DOA) estimation and tracking in the case of uniform linear arrays (ULAs) with mutual coupling is proposed. By treating the angularly-independent mutual coupling as angularly-dependent complex array gains, the middle subarray is found to have the same complex array gains. Using this property, a new way for parameterizing the steering vector is proposed and the corresponding method for joint estimation of DOAs and mutual coupling matrix (MCM) using the whole array data is derived based on subspace principle. Simulation results show that the proposed algorithm has a better performance than the conventional subarray-based method especially for weak signals. Furthermore, to achieve low computational complexity for online and time-varying DOA estimation, three subspace tracking algorithms with different arithmetic complexities and tracking abilities are developed. More precisely, by introducing a better estimate of the subspace to the conventional tracking algorithms, two modified methods, namely modified projection approximate subspace tracking (PAST) (MPAST) and modified orthonormal PAST (MOPAST), are developed for slowly changing subspace, whereas a Kalman filter with a variable number of measurements (KFVM) method for rapidly changing subspace is introduced. Simulation results demonstrate that these algorithms offer high flexibility and effectiveness for tracking DOAs in the presence of mutual coupling. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137289
ISSN
2020 Impact Factor: 4.102
2020 SCImago Journal Rankings: 1.137
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorLiao, Ben_HK
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorChan, SCen_HK
dc.date.accessioned2011-08-26T14:22:39Z-
dc.date.available2011-08-26T14:22:39Z-
dc.date.issued2012en_HK
dc.identifier.citationIEEE Transactions on Aerospace and Electronic Systems, 2012, v. 48 n. 1, p. 891-905en_HK
dc.identifier.issn0018-9251en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137289-
dc.description.abstractA class of subspace-based methods for direction-of-arrival (DOA) estimation and tracking in the case of uniform linear arrays (ULAs) with mutual coupling is proposed. By treating the angularly-independent mutual coupling as angularly-dependent complex array gains, the middle subarray is found to have the same complex array gains. Using this property, a new way for parameterizing the steering vector is proposed and the corresponding method for joint estimation of DOAs and mutual coupling matrix (MCM) using the whole array data is derived based on subspace principle. Simulation results show that the proposed algorithm has a better performance than the conventional subarray-based method especially for weak signals. Furthermore, to achieve low computational complexity for online and time-varying DOA estimation, three subspace tracking algorithms with different arithmetic complexities and tracking abilities are developed. More precisely, by introducing a better estimate of the subspace to the conventional tracking algorithms, two modified methods, namely modified projection approximate subspace tracking (PAST) (MPAST) and modified orthonormal PAST (MOPAST), are developed for slowly changing subspace, whereas a Kalman filter with a variable number of measurements (KFVM) method for rapidly changing subspace is introduced. Simulation results demonstrate that these algorithms offer high flexibility and effectiveness for tracking DOAs in the presence of mutual coupling. © 2006 IEEE.en_HK
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Aerospace and Electronic Systemsen_HK
dc.titleDOA estimation and tracking of ULAs with mutual couplingen_HK
dc.typeArticleen_HK
dc.identifier.emailZhang, ZG:zgzhang@eee.hku.hken_HK
dc.identifier.emailChan, SC:scchan@eee.hku.hken_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TAES.2012.6129676en_HK
dc.identifier.scopuseid_2-s2.0-84862946517-
dc.identifier.hkuros191140en_US
dc.identifier.hkuros203523-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84856134643&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue1en_HK
dc.identifier.spage891en_HK
dc.identifier.epage905en_HK
dc.identifier.isiWOS:000302643100061-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLiao, B=44661377800en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.issnl0018-9251-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats