(18.232.50.137) 您好!臺灣時間:2021/05/06 18:34
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:郭慧卿
研究生(外文):Hui-chin Kuo
論文名稱:應用感知無線電的WRAN及其性能分析
論文名稱(外文):WRAN Based on Cognitive Radio and its Perfromance Analysis
指導教授:陳曉華陳曉華引用關係王藏億
指導教授(外文):Hsiao-Hwa ChenTsang-Yi Wang
學位類別:碩士
校院名稱:國立中山大學
系所名稱:通訊工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:193
中文關鍵詞:IEEE 802.22無線局域網路美國進階電視委員會認知無線電頻譜偵測
外文關鍵詞:spectrum sensingcognitive radioATSCIEEE 802.22WRAN
相關次數:
  • 被引用被引用:0
  • 點閱點閱:206
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
本論文是探討在認知無線電 (Cognitive Radio, CR) 應用於無線局域網路 (Wireless Regional Area Network, WRAN) 系統架構下,對數位電視頻帶所進行的頻譜偵測訊號分析,並依照 IEEE 802.22 標準所規範可在此電視頻帶上傳輸的訊號進行偵測,而本論文提出的流程為1.能量偵測;2. ATSC訊號偵測;3. WRAN訊號偵測;4. ATSC加上WRAN訊號混合偵測,藉由以上四種偵測,產生各個機率判斷值,進行決擇此通道是否有訊號存在,且為何種訊號存在,藉此了解通道使用狀況。
誌謝 III
摘要 V
圖目錄 VII
表目錄 XI
變數列表 XIII
縮寫對照表 XV
第一章 導論 1
1.1 研究動機 1
1.2 文獻探討 1
1.3 論文架構 4
1.4 基礎知識 4
1.4.1 IEEE 802.22 (WRAN) 標準簡介 4
1.4.2 認知無線電 (Cognitive Radio, CR) 簡介 6
第二章 感測頻帶環境 9
2.1 WRAN頻帶利用情形 9
2.2 共用頻帶的訊號 13
第三章 動態頻率跳頻 19
3.1 簡介 19
3.2 動態跳頻社區 (Dynamic Frequency Hopping
Community, DFHC) 19
3.2.1 DFHC管理方式 19
3.2.2 DFHC運作原理 21
第四章 訊號偵測 29
4.1 接收端架構 29
4.2 接收訊號強度指標 (Received Signal Strength
Indicator, RSSI) 31
4.3 WRAN訊號偵測 33
4.4 ATSC訊號偵測 45
4.4.1 IEEE 802.22標準的ATSC感測 45
4.4.2 數據段同步偵測 ( Data Segment Synchronization) 46
4.5結果與討論 61
4.5.1 接收訊號強度指標偵測 61
4.5.2 WRAN訊號偵測 63
4.5.3 ATSC訊號偵測 65
第五章 混合訊號偵測 69
5.1 ATSC與WRAN混合訊號偵測 70
5.2 結果與討論 85
第六章 整體訊號偵測 95
6.1 訊號相對分布 95
6.2 整體訊號偵測 99
6.2.1偵測流程 99
6.2.2偵測判斷式 102
6.3 結果與討論 111
第七章 結論與未來工作 119
附錄A WRAN的 平均值與變異數 121
附錄B ATSC的 平均值與變異數 135
附錄C混合訊號 的平均值與變異數 151
附錄D複數高斯聯合機率密度函數 169
參考文獻 173
[1] Federal Communications Commission, “Spectrum Policy Task Force ,” Rep. ET Docket no. 02 – 135, Nov. 2002.
[2] Mark A. McHenry and Karl Steadman, “Spectrum Occupancy Measurements,” Shared Spectrum Company Report, http://www.sharedspectrum.com/measurements/, August, 2005.
[3] J. Mitola et al., “Cognitive radios: making software radios more personal,”IEEE Personal Communications, vol. 6, no. 4, pp. 13 – 18, August 1999.
[4] J. Mitola, “Cognitive radio:An integrated agent architecture for software defined radio,” PhD Dissertation, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000.
[5] Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran, and Shantidev Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,”Computer Networks, vol. 50, pp. 2127 – 2159, 2006.
[6] John Benko et al., “A PHY/MAC Proposal for IEEE 802.22 WRAN Systems Part 1:The PHY,” IEEE P802.22 Wireless RANs http://grouper.ieee.org/groups/802/22/ .
[7] John Benko et al., “A PHY/MAC Proposal for IEEE 802.22 WRAN Systems Part 2: The Cognitive MAC,”IEEE P802.22 Wireless RANs
http://grouper.ieee.org/groups/802/22/ .
[8] Hou-Shin Chen et al., “Spectrum sensing for DMB-T systems using PN frame headers,” in Proc. IEEE International Conference on Communications, pp. 4889 –4893, Beijing, 19 – 23 May. 2008.
[9] Wha Sook Jeon et al., “An efficient quiet period management scheme for cognitive radio systems,” IEEE Transactions on Wireless Communications, vol. 7, no. 2, pp. 505 – 509, February 2008.
[10] Yonghong Zeng, Ying Chang Liang, and Rui Zhang, “Blindly combined energy detection for spectrum sensing in cognitive radio,” IEEE Signal Processing Letters, vol. 15, pp. 649 – 652, 2008.
[11] Jun Ma, Guodong Zhao, and Ye Li, “Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 11, pp. 4502 – 4507, November 2008.
[12] Sheng-Yuan Tu, Kwang-Cheng Chen, and Prasad, R., “Spectrum Sensing of OFDMA Systems for Cognitive Radios,” IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 1 – 5, 3 – 7 Sept. 2007.
[13] Jun Ma and Ye Li, “A Probability-Based Spectrum Sensing Scheme for Cognitive Radio,” in Proc. IEEE International Conference on Communications, pp. 3416 – 3420, Beijing, 19 – 23 May 2008.
[14] Zhi Quan et al., “Wideband Spectrum Sensing in Cognitive Radio Networks,” in Proc. IEEE International Conference on Communications, pp. 901 - 906, Beijing, 19 – 23 May 2008.
[15] Hou-Shin Chen, Wen Gao, and Daut, D.G. “Spectrum sensing using cyclostationary properties and application to IEEE 802.22 WRAN,” IEEE Global Telecommunications Conference, pp. 3133 – 3138, Washington, DC, 26 – 30 Nov. 2007.
[16] A. Taherpour et al., “Asymptotically optimum detection of primary user in cognitive radio networks,” IET Communications, vol. 1, no. 6, pp. 1138 – 1145, Dec. 2007.
[17] Shaoyi Xu, Yanlei Shang, and Haiming Wang, “SVD based sensing of a wireless microphone signal in cognitive radio networks,” 11th IEEE Singapore International Conference on Communication Systems, pp. 222 – 226, Guangzhou, China, 19 – 21 Nov. 2008.
[18] Carlos Cordeiro et al., “IEEE 802.22:The first worldwide standard based on Cognitive Radios,” 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, pp. 328 – 337, Baltimore, MD, USA, 8 – 11 Nov. 2005.
[19] Gerald Chouinard, “22-07-0232-00-0000-WRAN_Reference_Model,” http://grouper.ieee.org/groups/802/22/, 2007
[20] National Telecommunications and Information Administration, “United states frequency allocation Chart 2003,” http://www.ntia.doc.gov/osmhome/allochrt.html.
[21] National Communications Commission, http://www.ncc.gov.tw/chinese/.
[22] Simon Haykin,“Communication systems,” 4th Edition, John Wile y & Sons, Inc,2001.
[23] Fischer, Walter, “Digital television : a practical guide for engineers / Walter Fischer ; translated by H. von Renouard, ” New York : Springer, 2004.
[24] Soo-Young Chang, “Analysis of Proposed Sensing Schemes,” IEEE 802.22 Wireless RANs, http://www.ieee802.org/22, 2006.
[25] “A/53: ATSC Digital Television Standard, Parts 1 – 6,” Advanced Television System Committee, www.atsc.org, 2007.
[26] Sheng-Yuan Tu, “Spectrum sensing of OFDMA systems for cognitive radios,”graduate institute of communication engineering college of electrical
Engineering & computer science National Taiwan University master thesis, Jun. 2007.
[27] S. Kay, “Fundamental of statistical signal processing vol. 2 – detection theory,”Prentice–Hall PTR, 1998.
[28] J-J van de Beek and Per Ola Borjesson, “ML estimation of time and frequency offset in OFDM systems,” IEEE Transactions on signal processing, vol.45, no. 7, pp. 1800 – 1805 , July 1997.
[29] Liwen Chu et al., “22-06-0135-01-0000_dynamic_frequency_hopping_community,” http://www.ieee802.org/22, June 2006.
[30] Wendong Hu et al., “Dynamic Frequency Hopping Communities for Efficient IEEE 802.22 Operation”, IEEE Communication Magazine, vol 45, no 5, pp. 80 – 87 , May 2007.
[31] 王文正, “Random Hopping for Cognitive Radio Networks, ”國立中山大學 資訊工程學系碩士論文, 2007.
[32] N. R. Goodman, “Statistical Analysis Based on a Certain Multivariate Complex Gaussian distribution (An introduction)” Ann. Math. Statist.,vol. 34, pp. 152–177, 1963.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊
 
系統版面圖檔 系統版面圖檔