以無線通訊的角度而言，感知無線電常會遭遇共享頻段的其他通訊系統使用者彼此互相干擾。若沒有妥善的因應處理，系統的執行效能將會遭受到嚴重的限制。欲解決這個問題，則必須先進行大量嚴謹且複雜的估計與偵測計算，以求出造成系統干擾的雜訊模型以及其眾多統計特徵，再進行系統的設計與修正。然而，要精確的將雜訊轉化成數學模型是極其困難的。因為此雜訊還具有時變的特性。
因此本文主要探討目標為應用通道編碼技術來因應自共享頻段的其他使用著對系統所造成的干擾，並透過程式進行模擬分析，以期找出既強健且有效的解碼方法來取代前述所需縝密且複雜的估測計算。
本文藉由里得-所羅門碼(Reed-Solomon)和渦輪碼(Turbo code)等通道編碼技術建構系統，並使用脈衝雜訊模型(Impulse noise model)模擬其他使用者對系統所造成的干擾，再利用限幅裁減技術、疊代運算與metric量值計算等方法來輔助系統提升解碼錯誤更正能力以對抗脈衝雜訊干擾。
經由模擬結果得知，若能推算並設置一個適當的限幅裁減臨界值，即可有效幫助系統的解碼錯誤糾正能力，使其能接近針對雜訊模型最佳化後解碼器的解碼效能。並且僅需部分參數資訊，即能省卻大量複雜的計算，有效提升系統的執行效能。

For the wireless communication area, the cognitive radio systems which are using the Orthogonal Frequency Division Multiplexing technique are usually detriment arising from the interference of the other users who are sharing the same frequency bands. If the system not be adapted to match the environment in time, the system performance would be limited. To solve the problem, lots of complexity intensive estimation for the environment interference statistics is needed. However, it’s quite difficult to model the interference accurately. It’s because the interference is also not time-invariant. Then, we choose the impulse noise to simulate the time-invariant interference.
In the thesis, we propose a decoding scheme which focuses on efficiently and robustly to defense the impulse noise with the concept of clipping that is related to the bit metric erasure marking, channel coding and iteration manner.
We also derive the simulation results in several cases. When we set the clipping threshold of bit metric appropriately, the system bit error probability performance would be 〖10〗^(-5) without the help of interference statistics.

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