A recursive blind adaptive identification algorithm and its almost sure convergence

Miloje S. Radenkovic; Tamal Bose

doi:10.1109/TCSI.2007.895522

A recursive blind adaptive identification algorithm and its almost sure convergence

Miloje S. Radenkovic, Tamal Bose

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

This paper presents a novel blind adaptive identification algorithm based on least-squares type arguments. Parameter estimates are recursively updated with each output measurement, without resorting to any matrix inversion operation. It is proved that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. Possible application of this algorithm to the channel equalization problem is discussed.

Original language	English (US)
Pages (from-to)	1380-1388
Number of pages	9
Journal	IEEE Transactions on Circuits and Systems I: Regular Papers
Volume	54
Issue number	6
DOIs	https://doi.org/10.1109/TCSI.2007.895522
State	Published - Jun 2007
Externally published	Yes

Keywords

Almost sure eigenvalue
Blind adaptive identification
Blind equalization
Recursive parameter estimation

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/TCSI.2007.895522

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title = "A recursive blind adaptive identification algorithm and its almost sure convergence",

abstract = "This paper presents a novel blind adaptive identification algorithm based on least-squares type arguments. Parameter estimates are recursively updated with each output measurement, without resorting to any matrix inversion operation. It is proved that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. Possible application of this algorithm to the channel equalization problem is discussed.",

keywords = "Almost sure eigenvalue, Blind adaptive identification, Blind equalization, Recursive parameter estimation",

author = "Radenkovic, {Miloje S.} and Tamal Bose",

note = "Funding Information: Manuscript received August 4, 2006; revised January 4, 2007. T. Bose{\textquoteright}s work was supported by NASA under Grant NAG5-10716 and Grant NNG06GE95G, and by the State of Utah Centers of Excellence program. This paper was recommended by Associate Editor P. Regalia.",

year = "2007",

month = jun,

doi = "10.1109/TCSI.2007.895522",

language = "English (US)",

volume = "54",

pages = "1380--1388",

journal = "IEEE Transactions on Circuits and Systems I: Regular Papers",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - A recursive blind adaptive identification algorithm and its almost sure convergence

AU - Radenkovic, Miloje S.

AU - Bose, Tamal

N1 - Funding Information: Manuscript received August 4, 2006; revised January 4, 2007. T. Bose’s work was supported by NASA under Grant NAG5-10716 and Grant NNG06GE95G, and by the State of Utah Centers of Excellence program. This paper was recommended by Associate Editor P. Regalia.

PY - 2007/6

Y1 - 2007/6

N2 - This paper presents a novel blind adaptive identification algorithm based on least-squares type arguments. Parameter estimates are recursively updated with each output measurement, without resorting to any matrix inversion operation. It is proved that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. Possible application of this algorithm to the channel equalization problem is discussed.

AB - This paper presents a novel blind adaptive identification algorithm based on least-squares type arguments. Parameter estimates are recursively updated with each output measurement, without resorting to any matrix inversion operation. It is proved that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. Possible application of this algorithm to the channel equalization problem is discussed.

KW - Almost sure eigenvalue

KW - Blind adaptive identification

KW - Blind equalization

KW - Recursive parameter estimation

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EP - 1388

JO - IEEE Transactions on Circuits and Systems I: Regular Papers

JF - IEEE Transactions on Circuits and Systems I: Regular Papers

IS - 6

ER -

A recursive blind adaptive identification algorithm and its almost sure convergence

Abstract

Keywords

ASJC Scopus subject areas

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