感知無線電 (Cognitive Radios) 是一中被視為最有前途發展的無線通訊和邁向軟體無線電 (Software Define Radios) 的方式。 感知無線電的平臺建立可自由重新調整參數的無線收發機上，它可以自動適應外在環境和根據使用者需求調整其通信參數。越來越多的無線應用產品被開發，因此對頻譜使用的機會越高以及高資料傳輸率的需求也迅速增長。因為在有限的頻譜資源缺下和低落的頻譜利用率促使我們重新檢使既有的頻譜分配政策。頻譜池的概念就是允許公眾使用者使用共同的頻譜而這些頻譜原本授權給特定的使用者。一般使用者在授權使用者的允許下可以去使用這些頻帶。
頻譜偵測是感知無線電的關鍵技術之一。雖然有很多方法已經被提出來，但是許多方法需要很多觀察數量或是有高計算複雜性並不適合硬體實現。這使得我們提出窗型函數濾波器組平均加權的重疊的頻譜分析發法(WOSA filter bank)，並且基於本地最強大的測試 (LMPT)。我們提出的方法可以提高頻譜的有效自由度(effective degree of freedom )。 在我們的提出的方法中，頻譜解析度取決於快速傅立葉轉換 (FFT) 的點數，因此，頻譜解析度是具有可調的特性。當 SNR = -5 dB 而且假警報 (probability of false alarm) = 0.1 的情況下， 我們提出的偵測器有高於0.9的偵測率比一班的能量偵測器還要高出30% 。
多載波通信是為實現感知無線電和下一代移動通信的另一個關鍵在於其優異的干擾抑制及頻譜使用效率。傳統上，使用者間如果有頻率偏移的現象，正交分頻多工(OFDM)的方法會導致鄰近的載波受到嚴重干擾，因此，OFDM需要在各使用者間進行完美同步。而在衰落通道下，OFDM 要求額外的循環字首用來對抗到通道衰減，這將會進一步降低頻譜使用效率。因此，我們將提出更好的解決方案基於濾波器組多載波通信系統，而濾波器組多載波通信系統的收發器硬體可以結合我們的頻譜偵測系統已降低硬體成本。
我們提出的架構經過下線驗證，使用 TSMC 90 nm 製程。定點演算法的偵測率也超過0.9， 在偵測每單位頻寬所消耗的能量只有0.331 J/MHz 大約是其他類似晶片的10倍。我們也將進一步探討多載波通訊收發機如何有效的與既有的頻譜偵測機做整合

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