2010
DOI: 10.1109/twc.2010.06.090651
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Blind Frequency-Dependent I/Q Imbalance Compensation for Direct-Conversion Receivers

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Cited by 51 publications
(25 citation statements)
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“…δ k1,k2 = 1 if k 1 = k 2 , and δ k1,k2 = 0 otherwise. Unlike the frequency domain estimation method in [7], we do not impose any constraint on the the received symbol power. In the proposed estimation method, E{|H[k]S[k]| 2 } does not need to be the same for different subcarrier indices k. From (7), a linear combination of the received symbols of subcarrier pairs is given by…”
Section: B Blind Estimation For Frequency-dependent Imbalance Componmentioning
confidence: 99%
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“…δ k1,k2 = 1 if k 1 = k 2 , and δ k1,k2 = 0 otherwise. Unlike the frequency domain estimation method in [7], we do not impose any constraint on the the received symbol power. In the proposed estimation method, E{|H[k]S[k]| 2 } does not need to be the same for different subcarrier indices k. From (7), a linear combination of the received symbols of subcarrier pairs is given by…”
Section: B Blind Estimation For Frequency-dependent Imbalance Componmentioning
confidence: 99%
“…According to (7), the effect of I/Q imbalance is regarded as a linear transform on the received symbols on each image subcarrier pair. Consequently, the I/Q imbalances can be compensated by a linear transform on the received symbols on every image subcarrier pair.…”
Section: Frequency Domain Compensation For I/q Imbalancementioning
confidence: 99%
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“…[ 15] u ses t he statistical i ndependence b etween t he desired s ignal a nd its mirror im age f or f requency independent I/Q mismatch compensation in lo w-IF receiver by blind signal separation. In [16] a g radient descent search method i n t ime do main a nd a f requency do main a pproach based o n a s ingle-tap matrix i nversion for f requency dependent I /Q i mbalance c ompensation is pr esented. [ 17] provides ad vanced b lind s ource s eparation t echniques f or frequency i ndependent I /Q i mbalance co mpensation i n MIMO s ystems a nd [ 18] s hows t he s ame for t he frequency dependent cas e b y u sing h igher-order s tatistics in a n independent c omponent a nalysis.…”
Section: Introductionmentioning
confidence: 99%