Low Complexity Linear Channel Estimation for MIMO Communication Systems.
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| Title: | Low Complexity Linear Channel Estimation for MIMO Communication Systems. |
|---|---|
| Authors: | Raza, Hasan1, Khan, Noor1 |
| Source: | Wireless Personal Communications. Dec2017, Vol. 97 Issue 4, p5031-5044. 14p. |
| Subjects: | MIMO systems, Performance of MIMO systems, Algorithms, Doppler effect, Gaussian processes |
| Abstract: | Channel estimation is employed to get the current knowledge of channel states for an optimum detection in fading environments. In this paper, a new recursive multiple input multiple output (MIMO) channel estimation is proposed which is based on the recursive least square solution. The proposed recursive algorithm utilizes short training sequence on one hand and requires low computational complexity on the other hand. The algorithm is evaluated on a MIMO communication system through simulations. It is realized that the proposed algorithm provides fast convergence as compared to recursive least square (RLS) and robust variable forgetting factor RLS (RVFF-RLS) adaptive algorithms while utilizing lesser computational cost and provides independency on forgetting factor. [ABSTRACT FROM AUTHOR] |
| Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Items | – Name: Title Label: Title Group: Ti Data: Low Complexity Linear Channel Estimation for MIMO Communication Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Raza%2C+Hasan%22">Raza, Hasan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Khan%2C+Noor%22">Khan, Noor</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>. Dec2017, Vol. 97 Issue 4, p5031-5044. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+of+MIMO+systems%22">Performance of MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Doppler+effect%22">Doppler effect</searchLink><br /><searchLink fieldCode="DE" term="%22Gaussian+processes%22">Gaussian processes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Channel estimation is employed to get the current knowledge of channel states for an optimum detection in fading environments. In this paper, a new recursive multiple input multiple output (MIMO) channel estimation is proposed which is based on the recursive least square solution. The proposed recursive algorithm utilizes short training sequence on one hand and requires low computational complexity on the other hand. The algorithm is evaluated on a MIMO communication system through simulations. It is realized that the proposed algorithm provides fast convergence as compared to recursive least square (RLS) and robust variable forgetting factor RLS (RVFF-RLS) adaptive algorithms while utilizing lesser computational cost and provides independency on forgetting factor. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wireless Personal Communications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11277-017-4763-5 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 5031 Subjects: – SubjectFull: MIMO systems Type: general – SubjectFull: Performance of MIMO systems Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Doppler effect Type: general – SubjectFull: Gaussian processes Type: general Titles: – TitleFull: Low Complexity Linear Channel Estimation for MIMO Communication Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Raza, Hasan – PersonEntity: Name: NameFull: Khan, Noor IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09296212 Numbering: – Type: volume Value: 97 – Type: issue Value: 4 Titles: – TitleFull: Wireless Personal Communications Type: main |
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