Abstract
AbstractImpulsive noise (IN) degrades the performance of OFDM-based communication systems. Performance degradation is usually measured in terms of signal-to-noise ratio (SNR) and symbol-error rate (SER). To improve the performance of the system of OFDM receivers, one of the effective methods is to use blanking nonlinearity. In this method, the samples whose magnitudes exceed a certain fixed threshold are considered to be IN-affected and are therefore blanked. A fixed threshold does not always determine the IN-affected samples truly for all probabilities of IN occurrence. This paper proposes an optimized threshold-calculation method for blanking nonlinearity which is based on distribution characteristics of the received signal, i.e., mean, median, and peak. The proposed method can calculate an optimized threshold for all probabilities of impulsive noise occurrence. Simulation results show over 2.2-dB gain in SNR and lower SER by using the proposed method as compared to fixed threshold.
Highlights
Impulsive noise (IN) is one of the most challenging factors of performance degradation in power line communications [1]
Highspectral-power IN pulses degrade the performance of the orthogonal frequency division multiplexing (OFDM) system by reducing its signal-to-noise ratio (SNR) and increasing symbol-error rate (SER) [4]
We propose an optimized threshold-calculation method for blanking nonlinearity based on impulsive noise estimation (INE) by using distribution characteristics of the received signal, i.e., peak, median, and mean
Summary
Impulsive noise (IN) is one of the most challenging factors of performance degradation in power line communications [1]. One of the most widely used modulation techniques for PLC and wireless/wired channels is orthogonal frequency division multiplexing (OFDM) It offers many advantages like increased data rates, robustness in multipath, and resistance to noise [2]. One of the simple methods to improve system performance is to precede a conventional OFDM demodulator with blanking nonlinearity in which a signal sample is set to zero if its amplitude exceeds a particular threshold. This threshold is conventionally fixed in an OFDM receiver [5]. We propose an optimized threshold-calculation method for blanking nonlinearity based on impulsive noise estimation (INE) by using distribution characteristics of the received signal, i.e., peak (maximum value), median, and mean.
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