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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 張帆人,王立昇 | |
| dc.contributor.author | Pei-Keng Sun | en |
| dc.contributor.author | 孫培耕 | zh_TW |
| dc.date.accessioned | 2021-05-16T16:19:25Z | - |
| dc.date.available | 2013-08-14 | |
| dc.date.available | 2021-05-16T16:19:25Z | - |
| dc.date.copyright | 2013-08-14 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-09 | |
| dc.identifier.citation | [1]H. Tong and S. A. Zekavat, 'A novel wireless local positioning system via a merger of DS-CDMA and beamforming: probability-of-detection performance analysis under array perturbations,' IEEE Transactions on Vehicular Technology, vol. 56, pp. 1307-1320, 2007.
[2]M. Haardt and J. A. Nossek, 'Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden,' IEEE Transactions on Signal Processing, vol. 43, pp. 1232-1242, 1995. [3]I. Guvenc , C.C. Chong , H. Inamura, and F. Watanabe, 'NLOS identification and weighted least-squares localization for uwb systems using multipath channel statistics,' EURASIP Journal on Advances in Signal Processing, vol. 2008, p. 271984, 2008. [4] L. Cong and W. Zhuang, 'Non-line-of-sight error mitigation in mobile location,' IEEE Transactions on Wireless Communications, vol. 4, pp. 560-573, 2004. [5] Z. Wang and S. A. Zekavat, 'Omnidirectional mobile nlos identification and localization via multiple cooperative nodes,' IEEE Transactions on Mobile Computing, vol. 11, pp. 2047-2059. [6]C. Seow and S. Tan, 'Non-line-of-sight localization in multipath environments,' IEEE Transactions on Mobile Computing, vol. 7, pp. 647-660, 2008 [7]H. Song, H. Wang, K. Hong, and L. Wang, 'A novel source localization scheme based on unitary ESPRIT and city electronic maps in urban environments,' PIER Progress In Electromagnetics Research, vol. 94, pp. 243-262, 2009. [8]P. Misra and P. Enge, Global positioning system : signals, measurements, and performance. Lincoln, Mass.: Ganga-Jamuna Press, 2001. [9]T. S. Rappaport, J. H. Reed, and B. D. Woerner, 'Position location using wireless communications on highways of the future,' IEEE Communications Magazine, vol. 34, pp. 33-41, 1996. [10]Positioning emergency calls along roads and motorways using a GSM dedicated cellular radio network. Available: http://hal.archives-ouvertes.fr/hal-00250453 [11]M. Vossiek, L. Wiebking, P. Gulden, J Wieghardt, C. Hoffmann, and P. Heide, 'Wireless local positioning,' IEEE Microwave Magazine, vol. 4, pp. 77-86,2003. [12]S. A. Zekavat, M. Buehrer(2012), Handbook of position location theory, practice and advances. Available: http://ieeexplore.ieee.org/servlet/opac?bknumber=6047597 [13]Y. T. Chan, W. Y. Tsui, H. C. So, and P. C. Ching, 'Time-of-arrival based localization under nlos conditions,' IEEE Transactions on Vehicular Technology, vol. 55, pp. 17-24, 2006. [14]A. Lakhzouri, R. Hamila, E. S. Lohan, and M. Renfors, 'Extended Kalman filter channel estimation for line-of-sight detection in WCDMA mobile positioning,' EURASIP Journal on Advances in Signal Processing, vol. 2003, pp. 1268-1278, 2003. [15]S. Venkatesh and R. Buehrer, 'Non-line-of-sight identification in ultra-wideband systems based on received signal statistics,' IET Microwaves, Antennas & Propagation, vol. 1, 2007. [16]M. Heidari, N. Alsindi, and K. Pahlavan, 'UDP identification and error mitigation in toa-based indoor localization systems using neural network architecture,' IEEE Transactions on Wireless Communications, vol. 8, pp. 3597-3607, 2009. [17]J. Borras, P. Hatrack, and N. Mandayam, 'Decision theoretic framework for NLOS identification,' IEEE Vehicular Technology Conference, vol. 48, pp. 1583-1587, 1998. [18]N. Alsindi, M. Heidari, and K. Pahlavan, 'Blockage identification in indoor UWB ranging using multi band OFDM signals,' IEEE Wireless Communications and Networking Conference, pp. 3231-3236, 1999. [19]蔡文發(1997), 全球定位系統在多點三維三角測量之應用, 臺灣大學碩士論文. [20]K. Yu, I. Sharp, and Y. J. Guo. (2009). Ground-based wireless positioning. Available: http://www.books24x7.com/marc.asp?bookid=33742 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/6013 | - |
| dc.description.abstract | 大多數的現有的定位方法都是依據視線訊號(Line of sight, LOS)定位。但在都市裡,常因基地台與接收機中間的障礙物而產生非視線訊號(Non-line of sight, NLOS),這會讓定位精度下降,甚至無法定位。接收機所收到的究竟是視線訊號亦或是非視線訊號,已有一些研究提出適當方法以為判定之依據。在沒有任何視線訊號之情況下的定位方法,相關的研究則尚不普遍。而本論文之目的就在於借由非視線訊號的抵達角度(Angle of arrival, AOA)與抵達時間(Time of arrival, TOA),在平行反射面及一次反射假定下,推導出新的定位演算法。
本論文所提出之非視線訊號定位方法,乃藉由平行反射面所對應的AOA與TOA量測值之線段定位。因為此線段必通過目標物,可推測目標物的所在即是兩條線段的交點。又因每條線段至少需要兩組AOA與TOA量測值始可得知,因此本論文所提出的非視線定位方法最少需要四組AOA與TOA量測值方可定位。此外,本論文亦透過幾何分析來探討非視線定位方法之誤差。最後則以模擬結果驗證此非視線定位方法與誤差分析的合理性。 | zh_TW |
| dc.description.abstract | Nowadays, most of localization methods are suitable for line-of-sight (LOS) condition. However, when LOS signal is obstructed in urban or internal environment, considerable localization error is generated due to non-line-of-sight (NLOS) signals in the channel. There are some proper techniques to distinguish NLOS channel from LOS channel in the past while there are a few approaches to localization without LOS signals. In this thesis, we present a mobile localization technique in non-line-of-sight (NLOS) scenarios by using angle-of-arrival(AOA) and time-of-arrival(TOA) measurements from base stations. In addition, we assume that two reflectors of single-bounced NLOS signals are parallel.
Our localization technique is based on two parallel reflectors and single-bounce NLOS signals. Two parallel reflectors provide one line where the target is. When there are more parallel reflectors, more lines that target is located on can be constructed, and the target position is determined by the crossing point of those lines. In other words, at least four AOA/TOA measurements of single-bounce NLOS signals which construct two lines are used to find target position in NLOS situation. The localization errors caused by the geometric distributions of base stations and reflectors are analyzed. In our simulations, our geometric analysis is confirmed. Also, more AOA/TOA measurements of two parallel reflectors are used, the performance of localization is more accuracy. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-16T16:19:25Z (GMT). No. of bitstreams: 1 ntu-102-R00921005-1.pdf: 4352476 bytes, checksum: 5ba0d59f042068ed1a88800bbf9c2eb2 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 中文摘要......................................i
Abstract......................................ii 目錄..........................................iii 圖目錄........................................v 表目錄........................................vii 第一章 緒論...................................1 1.1研究動機...................................1 1.2章節介紹...................................3 第二章 無線區域定位之理論基礎.................4 2.1視線訊號定位...............................4 2.1.1 抵達時間................................4 2.1.2 抵達時間差..............................5 2.1.3 抵達角度...............................6 2.1.4 接收訊號強度............................7 2.2鑑別非視線訊號之理論基礎...................7 2.2.1 餘量檢定................................9 2.2.2 通道特性檢定............................10 2.2.3 全距統計量檢定..........................11 2.2.4 綜合統計量檢定..........................11 2.3暨有非視線訊號定位方法.....................12 2.3.1 追蹤回覆信號...........................13 2.3.2 共用反射點.............................15 2.3.3 雙向抵達角度與抵達時間.................17 第三章 非視線定位方法.........................20 3.1 環境.....................................20 3.2 定位條件.................................21 3.3 定位原理.................................24 3.3.1 非視線訊號與目標物的幾何關係............24 3.3.2 非視線訊號與平行反射面的幾何關係........25 3.4 定位方法.................................26 3.4.1 四個端末點定位情況......................27 3.4.2 一般定位方法............................30 3.5 誤差分析.................................32 3.5.1 一維誤差分析............................35 3.5.2 四個端末點二維誤差分析..................39 3.5.3 六個端末點二維誤差分析..................41 第四章 模擬結果與分析.........................44 4.1 一維誤差分析模擬.........................45 4.2 四個端末點二維模擬參數設定與結果分析.....50 4.3 六個端末點二維模擬參數設定與結果分析.....52 第五章 結論與未來工作.........................55 5.1 結論.....................................56 5.2 未來工作.................................57 參考文獻......................................58 | |
| dc.language.iso | zh-TW | |
| dc.title | 利用非視線訊號改善無線網路於二維空間之定位 | zh_TW |
| dc.title | Improvement of Wireless Localization on Two-Dmensional Space by Using Non-Line-of-Sight Signals | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 王伯群,卓大靖,姜義德 | |
| dc.subject.keyword | 非視線訊號,多重路徑,定位, | zh_TW |
| dc.subject.keyword | Non-line-of-sight,multipath,localization, | en |
| dc.relation.page | 58 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2013-08-09 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
| 顯示於系所單位: | 電機工程學系 | |
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|---|---|---|---|
| ntu-102-1.pdf | 4.25 MB | Adobe PDF | 檢視/開啟 |
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