分時多工的突波通訊方式，可以提升在有限頻寬中的頻率運用效率，但由於衛星訊號能量微弱及突波訊號的猝發性，易造成資料錯誤或遺失，在此情況下會增加通訊錯誤率或造成通訊延時的情況。因此本研究設計一個結合F檢測、能量偵測以及匹配濾波等多個面向的突波訊號偵測演算法，藉由兩段相鄰訊號框架進行移動平均及F檢測，取得兩段相鄰時間內訊號間的相似度，來判斷訊號是否正在劇烈變化，作為突波起始點的預測，並搭配能量偵測以及匹配濾波的方法，針對預測開啟時間之後的一段區間內尋找最大值，來取得突波開啟的準確時間。實驗分別針對一般情況、背景雜訊強以及脈衝干擾等狀態下進行驗證，其偵測率及正確率均優於一般偵測法，可知本研究之演算法能加強突波通訊品質及穩定性，避免通訊錯誤或延時的情況。;The use of time division multiple access as a burst communication method can improve the efficiency of frequency allocation in limited-frequency bands. However, the weak energy of satellite signals and the bursting feature of burst signals are prone to engender data errors or loss. Such conditions increase incidence levels of communication errors and cause delays in communication. Therefore, this study designed an algorithm for burst-signal detection that integrates multiple methods, such as the F-test, energy detection, and matched filters. In the proposed algorithm, measures of moving average and F-test are implemented on two adjacent signal frames to obtain the similarity of the signals between two adjacent time points, thereby determining whether the signals are changing drastically. The results are then used to predict the starting point of the burst. Subsequently, the maximum value within the prediction time is identified using energy detection and matched-filter detection to acquire the precise opening time of the burst. The experiment presented in this paper was carried out under normal conditions in an environment with strong background noise and with pulsed interference for verification. The detection rate and accuracy rate for the proposed method were more favorable than those for general detection methods, indicating that the proposed algorithm may be used to enhance the quality and stability of burst communications, thereby preventing communication errors and delays.