2009 Joint IEEE North-East Workshop on Circuits and Systems and TAISA Conference 2009
DOI: 10.1109/newcas.2009.5290486
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Design, simulation and hardware validation of a low-cost CLMS echo canceling system

Abstract: This paper presents the design, simulation and performance of a low-cost echo canceler for its application to on-channel repeaters in single frequency DVB-T networks. In these devices an echo canceler is required in order to avoid the coupling echoes produced between transmission and reception antennas. The designed echo canceler is based on an adaptive FIR filter where a correlation-based LMS algorithm (namely, CLMS) is used for updating the set of complex coefficients under a Minimum Squared Error (MSE) crit… Show more

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Cited by 3 publications
(1 citation statement)
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“…In [9] a standard-dependent strategy is proposed based on the pilot carriers of the DVB-T/H signal. On the contrary, the low complexity solutions described in [10] and [11] are based on the least mean square (LMS) algorithm and are capable to estimate the echoes thanks to the correlation properties of the DVB-T/H signal. All the mentioned solutions rely on some specific features of the OFDM signals to repeat, while the low complexity technique proposed in [12] is basically independent of the characteristics of the signal and can be used in different application scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…In [9] a standard-dependent strategy is proposed based on the pilot carriers of the DVB-T/H signal. On the contrary, the low complexity solutions described in [10] and [11] are based on the least mean square (LMS) algorithm and are capable to estimate the echoes thanks to the correlation properties of the DVB-T/H signal. All the mentioned solutions rely on some specific features of the OFDM signals to repeat, while the low complexity technique proposed in [12] is basically independent of the characteristics of the signal and can be used in different application scenarios.…”
Section: Introductionmentioning
confidence: 99%