基於短循環字首長度下利用領航訊號在 DVB-T2 的頻譜檢測

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：32

、訪客IP：18.226.222.12

姓名

王昕民(Simy Wang) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

基於短循環字首長度下利用領航訊號在 DVB-T2 的頻譜檢測
(Spectrum Sensing Based on Pilots for Short Cyclic Prefix Length in DVB-T2)

相關論文

★ 利用二元關聯法之簡易指紋辨識	★ 使用MMSE等化器的Filterbank OFDM系統探討
★ Kalman Filtering應用於可適性載波同步系統之研究	★ 無線區域網路之MIMO-OFDM系統設計與電路實現
★ 包含通道追蹤之IEEE 802.11a接收機設計與電路實現	★ 時變通道下的OFDM傳輸系統設計: 基於IEEE 802.11a標準
★ MIMO-OFDM系統各天線間載波頻率偏差之探討與收發機硬體實現	★ 使用雜散式領航訊號之DVB-T系統通道估測演算法與電路實現
★ 數位地面視訊廣播系統同步模組之設計與電路實現	★ 適用於移動式正交分頻多工通訊系統的改良型時域通道響應追蹤演算法
★ 正交分頻多工系統通道估測基於可適性模型化通道參數估測	★ 以共同項載波頻率偏移補償於正交分頻多重存取系統中減少多重存取干擾之方法
★ 正交分頻多工系統之資料訊號裁剪雜訊消除	★ 適用於正交分頻多工通訊系統的改良型決策反饋之卡爾曼濾波通道估測器
★ 半盲目通道追蹤演算法使用於正交分頻多工系統	★ 正交分頻多重存取以共同項載波頻率偏移補償以達到最小均方誤差之方法

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

在現代的無線通訊中，正交分頻多工系統 (Orthogonal Frequency-Division Multiplexing, OFDM) 已經被廣泛使用於各種裝置中-例如數位電視廣播系統。在這種情況下，當然也就產生了一些問題，其中就是頻帶使用效率的部分-如何去提高頻帶的使用效率是一大問題。為此科學家提出了感知無線電的理論(Cognitive Radio)來改善這些問題。感知無線電主要可分為頻譜檢測(Spectrum Sensing)、電源控制(Power Control)、頻帶分配(Spectrum Management) 三大部分。本篇論文主要屬於頻譜檢測的部分，並著重在第二代數位電視廣播系統 (DVB-T2) 上。藉由分析其特殊的領航訊號特性，來檢測其頻譜。

摘要(英)

In modern wireless communications, Orthogonal Frequency-Division Multiplexing is widely used in a variety of systems such as digital video broadcasting. It turns out that the problem of how to improve the spectrum efficiency is mentioned for real applications. To solve this problem, the cognitive radio schemes are rapidly increasing in the literature. There are three main categories in cognitive radio: spectrum sensing, power control, and spectrum management. This paper studies the spectrum sensing method for DVB-T2 based on pilots to be used with a short cyclic prefix length. The DVB-T2 spectrum is sensed through the specific pilot patterns that are designed in DVB-T2.

關鍵字(中)

★ 頻譜檢測
★ 感知無線電
★ 數位電視廣播系統

關鍵字(英)

★ spectrum sensing
★ cognitive radio
★ DVB-T2

論文目次

目錄
中文摘要 ………………………………………………………… i
英文摘要 ………………………………………………………… ii
目錄 ………………………………………………………… i
圖目錄 ………………………………………………………… ii
表目錄 ………………………………………………………… iii
第 1 章序論 ………………………………………………………… 1
1.1 前言 ………………………………………………………… 1
1.2 章節架構 ………………………………………………………… 4
第 2 章DVB-T2 系統架構 ………………………………………………………… 5
2.1 DVB-T2 系統簡介 ………………………………………………………… 5
2.2 碼框結構及傳輸訊號 ………………………………………………………… 6
2.2.1 碼框結構 ………………………………………………………… 7
2.2.2 傳輸訊號 ………………………………………………………… 7
2.3 參考訊號 ………………………………………………………… 10
2.3.1 連續領航訊號 ………………………………………………………… 12
2.3.2 散射領航訊號 ………………………………………………………… 13
第 3 章頻譜檢測的演算法 ………………………………………………………… 15
3.1 基於循環字首的頻譜檢測演算法 ………………………………………………………… 16
3.2 基於領航訊號的頻譜檢測演算法 ………………………………………………………… 17
3.2.1 時域符元交相關法 ………………………………………………………… 17
3.2.2 能量累積時域符元交相關法 ………………………………………………………… 20
3.2.3 修正型能量累積時域符元交相關法 ……………
…………………………………………… 21
3.3 決策原理與機率分析 ………………………………………………………… 22
3.3.1 循環字首法 ………………………………………………………… 23
3.3.2 能量累積時域符元交相關法 ………………………………………………………… 25
3.3.3 修正型能量累積時域符元交相關法 ……………
…………………………………………… 27
3.4 所提出的方法在 DVB-T 上的分析與比較 ………………………………………………………… 29
3.5 頻譜檢測的演算法的總結 ………………………………………………………… 35
第 4 章系統模擬與結果分析 ………………………………………………………… 36
4.1 系統模擬參數 ………………………………………………………… 36
4.2 模擬結果與討論 ………………………………………………………… 38
4.2.1 在雜訊不確定性情況下其 PFA 與 PM 的變化 ……………
…………………………………………… 39
4.2.2 不同訊雜比下 PFA 與 PD 的收斂曲線 ……………
…………………………………………… 41
4.2.3 散射領航訊號型態為 PP2 的情況下 ……………
…………………………………………… 42
4.2.4 散射領航訊號型態為 PP4 的情況下 ……………
…………………………………………… 45
4.2.5 散射領航訊號型態為 PP6 的情況下 ……………
…………………………………………… 51
4.2.6 散射領航訊號型態為 PP7 的情況下 ……………
…………………………………………… 52
第 5 章結論 ………………………………………………………… 54
參考文獻 ………………………………………………………… 57

參考文獻

參考文獻
[1] ETSI EN 300 744 v1.6.1 (2009-01), “Digital video broadcasting (DVB);framing structure, channel coding and modulation for digital terrestrial television.’’
[2] ETSI EN 302 755 v1.3.1 (2012-04), “Digital video broadcasting (DVB);frame structure channel coding and modulation for a second generation digital terrestrial television broadcasting system (DVB-T2).’’
[3] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,”IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, Feb. 2005.
[4] J. Ma and B. H. Juang, “Signal processing in cognitive radio,”Proceedings of the IEEE, vol. 97, no. 5, pp. 805–823, May 2009.
[5] F. F. Digham, M.-S. Alouin, and M. K. Simon, “On the energy detection of unknown signals over fading channels,”in Proc. IEEE Transactions on Communications, vol. 55, no. 1, Jan. 2007, pp. 21–24.
[6] V. I. Kostylev, “Energy detection of a signal with random amplitude,”in Proc. IEEE International Conference on Communications, vol. 3, 2002, pp. 1606–1610.
[7] S. Shellhammer and R. Tandra, “Performance of the power detector with noise uncertainty,”IEEE 802.22-06/0134r0 Wireless RANs, July 2006.
[8] R. Tandra and A. Sahai, “Snr walls for signal detection,”IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, pp. 4–17, Feb. 2008.
[9] –––, “Fundamental limits on detection in low snr under noise uncertainty,”in Proc. IEEE International Conference on Wireless Networks, Communications and Mobile Computing, vol. 1, June 2005, pp. 464–469.
[10] G. Noh, J. Lee, H. Wang, S. You, and D. Hong, “A new spectrum sensing scheme using cyclic prefix for ofdm-based cognitive radio systems,”in Proc. IEEE Vehicular Technology Conference, Singapore, May 2008, pp. 1891–1895.
[11] A. Jayaprakasam, V. Sharma, C. R. Murthy, and P. Narayanan,“Cyclic prefix based cooperative sequential spectrum sensing algorithms for ofdm,”in Proc. IEEE International Conference on Communications, Cape Town, May 2010, pp. 1–6.
[12] N. Khambekar, L. Dong, and V. Chaudhary, “Utilizing ofdm guardinterval for spectrum sensing,”in Proc. IEEE Wireless Communications and Networking Conference, Kowloon, March 2007, pp. 38–42.
[13] N. Han, G. Zheng, S. H. Sohn, and J. M. Kim, “Cyclic autocorrelation based blind ofdm detection and identification for cognitive radio,”in Proc. IEEE WiCOM ’08. 4th International Conference on Wireless Communications, Networking and Mobile Computing, Dalian, Oct. 2008, pp. 1–5.
[14] T. Yucek and H. Arslan, “Ofdm signal identification and transmission parameter estimation for cognitive radio applications,”in Proc. IEEE Global Telecommunications Conference, Washington, DC, Nov. 2007, pp. 4056 –4060.
[15] H. Li, X. Wang, and J. Nadeau, “Robust spectrum sensing for orthogonal frequency division multiplexing signal without synchronization and prior noise knowledge,”Wireless Communications and Mobile Computing, March 2012, online library.
[16] C. Wang, X. Wang, H. Li, and P. Ho, “Multi-window spectrum sensing of unsynchronized ofdm signal at very low snr,”in Proc. IEEE Global Telecommunications Conference, Honolulu, HI, Dec. 2009, pp. 1–5.
[17] H.-W. Chen, X. Wang, C.-L. Wang, and H. Lin, “Spectrum sensing of unsynchronized ofdm signals for cognitive radio communications,”in Proc. IEEE 70th Vehicular Technology Conference Fall, Anchorage, AK, Sep. 2009, pp. 1–5.
[18] H.-S. Chen, W. Gao, and D. G. Daut, “Spectrum sensing for ofdm systems employing pilot tones,”IEEE Transactions on Wireless Communications, vol. 8, no. 12, pp. 5862–5870, Dec. 2009.
[19] –––, “Spectrum sensing for ofdm systems employing pilot tones and application to dvb-t ofdm,”in Proc. IEEE International Conference on Communications, Beijing, May 2008, pp. 3421–3426.
[20] K. Dhuness and B. T. Maharaj, “A cognitive radio application of om-ofdm for implementation in dvb-t2,”in Proc. IEEE AFRICON Conference, Livingstone, Sep. 2011, pp. 1–6.
[21] H. Khoshnevis, “Pilot signature based detection of dvb-t2 broadcasting signal for cognitive radio,”2012 Third International Conference on the Network of the Future (NOF), pp. 1–5, Nov. 2012.
[22] H. V. Poor, An Introduction To Signal Detection And Estimation. Springer, 1998.
[23] S. Kay, Fundamentals of Statistical Signal Processing, Volume II: Detection Theory. Prentice Hall, 1998.
[24] Y. Chen and C. Tellambura, “Infinite series representations of the trivariate and quadrivariate rayleigh distribution and their applications,”IEEE Transactions on Communications, vol. 53, no. 12, pp. 2092–2101, Dec. 2005.

指導教授

張大中(Dah-Chung Chang)

審核日期

2013-10-7

推文