隨著近年通訊科技的發達，頻譜的需求大增，更顯得頻譜管理的重要性，頻譜管理可分為規劃、建置以及監測三個方向，頻譜管理達成頻譜資源有效運用，同時藉由規劃無線電頻率，區分不同需求。而頻譜監測的功能在於規劃與建置後能夠有效地維持電波秩序，確保制定的規則能夠被徹底的執行。而本研究選用無人飛行載具的主因在於無人飛行載具能夠跨越地形與建築物障礙，同時，本研究藉由高彈性與開源式的自組式無人飛行載具來提升與軟體定義無線電所架構的偵測模組的相容性，研究中預計利用系統整合技術完善先前無人飛行載具搭載軟體定義無線電技術的監測裝置，並建立一個完整的空中頻譜監測站，解決先前無法在收訊後即時判斷方位、透過將無人機飛行位置資訊與軟體定義無線電裝置所偵測的場強訊號整合至機載電腦樹莓派中進行計算，同時取代人工判斷角度，並將計算結果及時回傳至地面站電腦上，以提高偵測的效率與即時性，以便讓未來在空中頻譜監測的使用者能夠更快、更簡便的得到結果。然而，兩者之連接仍有許多問題尚待解決，本研究利用撰寫Python程式擷取軟體定義無線電裝置與飛行控制板的各項資料進入樹莓派中進行運算，也嘗試使用了兩個不同的軟體定義無線電裝置，並且搭配不同取向的天線：指向天線與定向天線，透過兩種偵測方式，提升偵測模組的數據參考價值，改善過去對於空中頻譜監測的方式，並配合軟體定義無線電的優勢，建置一個容易適合不同地形環境、能夠監測多種不同類型的訊號的空中頻譜監測站。

The development of communication technology has increased the demand of spectrum and shows the importance of spectrum management. Improving the efficiency of radio frequency and planning the allocation of spectrum resources have become critical issues in spectrum planning. This thesis selects unmanned aerial vehicle (UAV) since it can not only overcome the terrain obstacle but also simultaneously construct an aerial spectrum monitoring system. With open source autopilot controller, the monitoring system can easily communicate with software-defined radio (SDR) receiving module. One of the main purposes of this study is to construct an integrated system consisting of flight control module and software-defined radio receiving module as an aerial spectrum monitoring station. To properly overcome possible challenges of signal operating processes and receiving data calculation, the aerial spectrum monitoring therefore needs highly system integration. Furthermore, this thesis constructs a complete monitoring station including UAV, SDR receiver module, Raspberry Pi, and ground station. To meet the integration requirement, our approach is to simultaneously get the position and azimuth angle of UAV, and received signal power from SDR device. Hence, the controller of UAV, Pixhawk, and the SDR receiver need to send the above information to Raspberry Pi at the same time. In the Raspberry Pi, we develop Python code to perform the above approach. Meanwhile, two antennas and software-defined radio devices are used to detect the direction of radio wave and its signal strength respectively. Finally, we build an aerial spectrum monitor station to measure the position of a radio station.

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