2014
DOI: 10.1002/dac.2831
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Impulsive noise estimation and suppression in OFDM systems over in‐home power line channels

Abstract: This paper proposes a new adaptive iterative method to impulsive noise mitigation in OFDM systems over in-home power line channels. The performance of impulsive noise mitigation methods based on OFDM decreases when the impulsive noise energy is higher than a certain threshold. To compensate for the limitations of these systems and to be able to adopt it for all sub-carriers, here, the 64-QAM constellation is applied together with Alamouti space time coding to transmit, MIMO In-home power line channel and zero-… Show more

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Cited by 10 publications
(9 citation statements)
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“…Conventional approaches for impulsive noise cancellation in PLC channel are generally based on time-domain treatment [18,19], in which case the noise impulses can be deleted using nonlinear techniques such as clipping, blanking or clipping/blanking [20]. The performance of these techniques cannot be appreciated since they give poor communication performance.…”
Section: Related Workmentioning
confidence: 99%
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“…Conventional approaches for impulsive noise cancellation in PLC channel are generally based on time-domain treatment [18,19], in which case the noise impulses can be deleted using nonlinear techniques such as clipping, blanking or clipping/blanking [20]. The performance of these techniques cannot be appreciated since they give poor communication performance.…”
Section: Related Workmentioning
confidence: 99%
“…Two major impairments to the PLC systems are due to multipath propagation accompanied and impulsive noise [2,3]. Multipath propagation is characterized by both slow fading and uncorrelated Rayleigh/Ricean fading scenarios [4]. Impulsive noise is characterized by asynchronous or cyclo-stationnary scenarios.…”
Section: Introductionmentioning
confidence: 99%
“…where C(x) is the coding matrix we will propose in (13), h RiD is the channel coefficient between the ith repeater and the destination from h(f) in (5), w D A and w D B are the impulsive noise, and η D A and η D B are the background noise in the first and second time slot at the destination, respectively. The coding matrix is as follows:…”
Section: A First Typementioning
confidence: 99%
“…where y r A and y r B , h RiD , w D A and w D B , and η D A , η D B are defined in (12), and C(x) is the coding matrix in (13) or (19) we will propose in the succeeding paragraphs. Through the OL, R 2 receives the data as shown in Figure 4 (R 1 transmits the data to R 2 ).…”
Section: B Second Type (Original Contribution)mentioning
confidence: 99%
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