電力線通訊在智慧電網及家庭網路中扮演不可或缺的重要角色。由於電力線通訊系統承受多種通道雜訊的干擾，以致其通訊可靠度常受質疑，其中隨機脈衝雜訊干擾影響最為嚴重。許多文獻提出抑制或消除脈衝雜訊干擾的演算法，來提升系統效能，但大多數文獻都沒有將實際存在的脈衝寬度影響納入設計考慮。
本論文將脈衝雜訊寬度納入考慮，利用Markov模型模擬現實中有寬度(有記憶性)的脈衝雜訊，並且透過BCJR演算法偵測推算脈衝雜訊是否發生的機率;由於BCJR演算法運算過程較為複雜，本論文將其化簡為三取樣點演算法，以降低運算複雜度。BCJR演算法基本上只推導事件發生的機率，但判定脈衝雜訊發生與否仍須考慮事件成本，因此本論文將事件偵錯所造成的資訊錯誤率視為其成本，並納入系統判定考量，經由系統模擬證明此創新設計可提升整體性能表現。

Power line communication (PLC) plays an important role in Smart Grid and Home Network systems. But, PLC suffers from many kinds of noises so that its communication reliability is often challengeable. Among all of the noises, the random impulse noise is the most severe. Many previous literatures have proposed different schemes to mitigate or suppress the impulse noise and improve the system performance. However, most of these schemes didn’t take into account the width of impulse noise which exists in real word.
This thesis considers the impulse noise width and uses Markov Model to generate the memory (burst) impulse noise. The BCJR algorithm is adopted to calculate the probability of impulse noise for each sampled channel value. To reduce the computation complexity, this thesis also proposes a simplified BCJR scheme in which only three consecutive sampled channel values are used for the probability calculation. Basically, BCJR algorithm only presents the probability of an event. To detect the impulse noise, we have to take into account the cost of the event. Therefore, this thesis treats the resulting bit error rate (BER) as the cost of different event and this cost is taken into account in the system decision. Through the simulations, it is demonstrated that the novel design can improve the system performance.

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