Impulsive Noise Cancellation in MIMO-OFDM Systems over Power Line Channels under Multipath Effects
سال انتشار: 1393
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,018
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شناسه ملی سند علمی:
DCEAEM01_029
تاریخ نمایه سازی: 18 دی 1393
چکیده مقاله:
Impulsive noise is one of the major challenges in power line communication and can cause serious problems in PLC systems. Conventional OFDM receivers assume additive white Gaussian noise and hence experience degradation in communication performance in impulsive noise. In-home power linechannel for 3-wire installations (phase, neutral and protective earth) basically allow more feeding and receiving possibilities, which is the precondition to apply 2*2 MIMO and Alamouti scheme. This paper proposes an new iterative method with adaptive technique to recover the signals corrupted by impulsivenoise in MIMO-OFDM systems over In-home Power Line Channels. In this iterative technique, preliminary decisions are made to get the impulsive noise detection algorithm for finding the locations and amplitudes of the impulses, and then signal estimation block for approximation the signals for twobranch2*2 MIMO-OFDM at the receiver. This signals approximation are used to improve the noise estimate. After impulsive noise detection, an comparison - decision algorithm is employed to compare two noises estimated and decision for cancel impulsive noise and improve Mitigation of the impulsivenoise algorithm. In proposed method, an adaptive thresholding and soft-decision is employed toestimating and canceling the impulses. Then, by using ML detection, an approximation of signal is obtained. As this impulsive noise detection , comparison - decision and signal estimation loop continues, we get better approximates of the signal. The algorithm is analyzed and verified by computer simulations.A comparison between the performance of the different systems is presented and discussed. Simulation results confirm the robustness of the proposed algorithm
کلیدواژه ها:
نویسندگان
MOHAMMAD REZA AHADIAT
Department of Electrical Engineering, Mehriz branch, Islamic Azad University, Yazd, Iran
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