Joint channel and impulsive noise estimation for OFDM based power line communication systems using compressed sensing

A. Mehboob, Li Zhang, J. Khangosstar, K. Suwunnapuk
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引用次数: 21

Abstract

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 IN and CIR in an OFDM frame is significantly low. This allows us to assume that the IN and CIR supports are disjoint. Furthermore, we show that the CS solution from the joint formulation provides improvement in the estimation of CIR and IN as compared to the separate schemes. Numerical simulations verify the improvements in terms of Mean Square Error (MSE), Bit Error Rate (BER) or spectral efficiency offered by the proposed (joint) scheme.
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基于压缩感知的OFDM电力线通信系统联合信道和脉冲噪声估计
针对OFDM系统,提出了基于压缩感知的联合信道脉冲响应(CIR)和脉冲噪声(IN)估计方法。目前的文献认为基于CS的CIR和IN估计是两个独立的问题。我们表明,CIR和IN估计可以表述为一个单一的联合问题,其中在OFDM帧中,IN和CIR支持之间重叠的概率非常低。这允许我们假设IN和CIR支持是不相交的。此外,我们表明,与单独的方案相比,联合公式的CS解决方案在CIR和in的估计方面提供了改进。数值模拟验证了该方案在均方误差(MSE)、误码率(BER)和频谱效率方面的改进。
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