NDLI: A novel prewhitening subspace channel estimation for cyclic prefixed MIMO-OFDM systems

Content Provider	IEEE Xplore Digital Library
Author	Jung-Lang Yu Wei-Ting Hsu Biling Zhang
Copyright Year	2015
Description	Author affiliation: Sch. of Network Educ., Beijing Univ. of Posts & Telecommun., Beijing, China (Biling Zhang) \|\| Dept. of Electr. Eng., Fu Jen Catholic Univ., New Taipei City, Taiwan (Jung-Lang Yu; Wei-Ting Hsu)
Abstract	A novel noise whitening technique of blind subspace channel estimations is proposed for cyclic prefixing multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems. A fast convergence subspace channel estimation for cyclic prefixed MIMO-OFDM systems was presented in [1] where the repetition index was used to increase the number of equivalent received signals. However, the repetition index approach suffers from the nonwhite noise effects. In this paper, the noise correlation matrices are first calculated. Then a prewhitening technique is developed from the Choleskey decomposition of the noise correlation matrix. The noise whitening technique removes the correlation of the non-white noise. Computer Simulations show the effectiveness of the proposed noise whitening method.
Starting Page	891
Ending Page	895
File Size	261943
Page Count	5
File Format	PDF
e-ISBN	9781479919482
DOI	10.1109/ChinaSIP.2015.7230533
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation OFDM Noise NMSE Channel estimation Receiving antennas Blind channel estimation MIMO Indexes Matrix decomposition Inter-symbol interference
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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