NDLI: Adaptive blind equalisation using second and higher-order statistics

Content Provider	IEEE Xplore Digital Library
Author	Toh, B.E. McLernon, D.C.
Copyright Year	1996
Description	Author affiliation: Dept. of Electron. & Electr. Eng., Leeds Univ., UK (Toh, B.E.)
Abstract	Although research into blind equalisation algorithms has been an on-going activity for more than a decade, the existing algorithms are often inefficient in combating the impairments introduced by rapidly changing communication channels. New and efficient algorithms are thus needed. In this paper, an efficient blind equalisation algorithm is proposed by modifying the existing super exponential algorithm. This method, based on fast Kalman filtering theory, is recursive in order and in time, and leads to a significant reduction in the number of arithmetic operations. Using the order update by partitioning the covariance matrix of the first hundred data in a specific form, fast initialisation is also implemented. The proposed algorithm requires computational complexity proportional to N but acquires the fast convergence characteristics of the super exponential algorithm. Simulation results indicate that this equaliser performs better with a soft decision device applied at the output of the equaliser for various modulation schemes and channel conditions.
Starting Page	557
Ending Page	560
File Size	414122
Page Count	4
File Format	PDF
ISBN	0780329120
DOI	10.1109/ICSIGP.1996.567325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-18
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive equalizers Blind equalizers Partitioning algorithms Decision feedback equalizers Communication channels Kalman filters Filtering theory Lead time reduction Arithmetic Covariance matrix
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
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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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