Javad Khangosstar

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Compressed sensing (CS) based joint channel impulse response (CIR) and impulsive noise (IN) estimation is proposed for OFDM systems. Current literature considers CS based CIR and IN estimation as two separate problems. We show that the CIR and IN estimation can be formulated as a single joint problem where the probability of overlap between the supports of(More)
Power line communication is seriously impaired by the impulse noise, which will corrupt a burst of transmitted information. Due to the high unpredictability of the impulsive noise, a good knowledge and characterization of such noises is essential for their mitigation to enable high data rate power line communications. This is particularly important for(More)
We propose an adaptive algorithm based on Compressive Sensing (CS) to mitigate impulsive noise (IN) from Orthogonal Frequency Division Multiplexing (OFDM) based systems. In recent CS literature on IN mitigation, the sparsity of IN is assumed to be constant and thereby the number of pilots to reconstruct IN is also fixed. However, in practical systems(More)
Channel estimation in conjunction with impulsive noise (IN) mitigation using compressive sensing is proposed for OFDM based power line communication (PLC) systems. Compressive sensing (CS) based IN mitigation algorithms use silent-pilots (or zero-subcarriers) to estimate and cancel the IN at receiver. To estimate the channel and IN jointly, non-zero pilots(More)
As a result of the impairments generated by the consumer electronic devices on power line channel extensive research has been carried out to mitigate the deteriorating effects. In this work the performance of an OFDM based power line communication system is evaluated under OPERA [1] proposed power line channel. An adaptive modulation system is designed and(More)
Impulse noise is one of the major obstacles of data communications over power lines. Recently, the principle of compressed sensing is proposed to apply to the impulse noise cancellation in powerline communications [4,8]. This paper is to evaluate the effectiveness of this technique against real-life impulse noises (IN) measured from real powerline(More)
In this work the effects of impulsive noise from number of home electrical appliances in power line medium is investigated. This is an extension to a paper already published in ISPLC 2011 [1]. The analysis in this work focuses on the properties of impulse noise in frequency range of 100MHz – 200MHz and compares the effect of noise with the lower frequency(More)
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