數位廣播系統模擬與量測

數位廣播緣起於 90 年代初期歐洲一項所謂的 Eureka-147 數位音訊廣播計畫，所採用的多重載波編碼正交分頻多工之傳輸技術，非常適合於行動接收，同時於多重路徑干擾的傳輸通道中，依然能提供非常好的抗干擾特性。另外，數位廣播可於單頻網路中實現，大大提高了頻道使用的效率。除了利用MPEG-Audio Layer II之音源壓縮技術，提供媲美 CD 音質的數位音訊廣播服務外，還可同時提供與音樂節目相關的背景資料與相關訊息，及一些獨立的文字、資料服務之廣播傳輸，例如交通旅遊資訊、天氣報告、傳呼、緊急危難警告及圖片、影像的傳輸廣播服務。利用多工的廣播傳輸網路提供了非常彈性的節目內容組合。本論文使用MATLAB-Simulink之軟體以及其內建之元件庫建構出DAB系統傳輸平台，依據歐規Eureka-147 系統之規格設定此平台內每一個子系統進行模擬使用MATLAB模擬符合Eureka-147規格之數位音訊廣播系統，這可作為實際上用儀器測量的驗證標準及提供日後發展DAB數位音訊廣播系統測試參考。系統量測藉由R&S ETL接收寶島新聲廣播電台（頻率為 BandⅢ 213.360 MHz）及R&S SFU DAB訊號得到驗證。

關鍵字

腓特比；數位廣播

並列摘要

DAB was initially developed in the 1990s by the Eureka-147/ DAB project. It employed a multi-carrier coded orthogonal frequency division multiplexing (COFDM) transmission scheme that is especially suitable for mobile reception and provides very high robustness against multi-path effect. It allows to use of single frequency networks (SFNs) for high frequency efficiency. In addition, comparing to CD-like digital audio services via MPEG-Layer Ⅱ compression technology, DAB is capable of transmitting program-associated data (PAD) and a multiplex of data services (e.g. traffic and travel information, weather report, paging, emergency warning, still and moving pictures, etc.). In this thesis, MATLAB-Simulink is used to build and simulate the DAB transceiver system corresponding to Eureka-147 specification. The DAB system developed by simulink offers a test reference example to actual instrumentation measurement. Finally, a real-time signal from SuperFM (Frequency Band III 213.360MHz) is measured with R&S SFU and ETL.

並列關鍵字

ETL ； SFU ； DAB

參考文獻

[2] ETSI EN 300 401 v1.3.3, “Radio Broadcasting Systems; Digital Audio Broadcasting (DAB) to mobile, portable and fixed receivers,” 2001.

[3] ETSI TS 101 756 v1.1.1, “Digital Audio Broadcasting (DAB); Registered Tables,” 2000.

[6] A. J. Viterbi, “Error bounds for convolutional codes and an asymptotically optimum decoding algorithm,”IEEE Trans. Inf. Theory, IT-13, pp. 260-269, Apr. 1967.

[7] G. D. Forney, Jr., “The Viterbi Algorithm,”Proc. IEEE, Vol. 61, pp. 268-278, Mar. 1973.

[8] J. K. Omura, “On the Viterbi decoding algorithm,”IEEE Trans. Inf. Theory, IT-115, pp. 177-179, Jan. 1969.

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數位廣播系統模擬與量測

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