TY - JOUR
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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U2 - 10.1109/TCSI.2007.895522
DO - 10.1109/TCSI.2007.895522
M3 - Article
AN - SCOPUS:34250894368
VL - 54
SP - 1380
EP - 1388
JO - IEEE Transactions on Circuits and Systems I: Regular Papers
JF - IEEE Transactions on Circuits and Systems I: Regular Papers
SN - 1057-7122
IS - 6
ER -