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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42939
完整後設資料紀錄
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dc.contributor.advisor李枝宏
dc.contributor.authorShou-I Lien
dc.contributor.author李受益zh_TW
dc.date.accessioned2021-06-15T01:29:39Z-
dc.date.available2009-07-24
dc.date.copyright2009-07-24
dc.date.issued2009
dc.date.submitted2009-07-21
dc.identifier.citation[1] Robert A. Monzingo and Thomas W. Miller, Introduction to Adaptive Arrays,
New York: John Wiley & Sons, 1980
[2] S. Chen, N. N. Ahmad, and L. Hanzo, “Adaptive Minimum Bit-Error Rate Beamforming,” IEEE Trans. on Wireless Communications, Vol.4, No.2, pp.341-348, March 2005
[3] Jack Salz and Jack H. Winters, “Effect of Fading Correlation on Adaptive Arrays in Digital Mobile Radio,” IEEE Trans. on Vehicular Technology, Vol.43, No.4, pp.1049-1057, Nov. 1994
[4] Kenta ISHIZAWA, Jie ZHOU, Shigenobu SASAKI, Shogo MURAMATSU and Hisakazu KIKUCHI, “Spatial Correlation of a Circular Array Antenna and BER Performance Investigation,” Proc. IEEE Circuits and Systems Conference (APCCAS’04) , Tainan, Taiwan(R.O.C), 6-9 Dec. 2004, Vol.1, pp.385-388
[5] Jiann-An Tsai and Brian D. Woerner, “The Fading Correlation Function of a Circular Antenna Array in Mobile Radio Environment,” Proc. IEEE Global Telecommunications Conference (GLOCOM’01) , San Antonio, TX , U.S.A., 25-29 Nov. 2001,Vol.5, pp.3232-3236
[6] Ioannides, P. and Balanis, C.A., “Uniform Circular Arrays for Smart Antennas,”
IEEE Antennas and Propagation Magazine, Vol.47, No.4, pp.192-1206, Aug. 2005
[7] Andreas F. Molisch, Wireless Communications, New York: John Wiley & Sons, 2005
[8] Jiann-An Tsai, R. Michael Buehrer, and Brian D. Woerner, “BER Performance of a Uniform Circular Array Versus a Uniform Linear Array in a Mobile Radio Environment, “ IEEE Trans. on Wireless Communications, Vol.3, No.3, pp.695-700, May 2004
[9] A Livingstone and S. Chen, “Adaptive Space-Time Equalisation for Multiple-Antenna Assisted Multiple-Input Multiple-Output Systems,” DSPenabledRadio, 2005. The 2nd IEE/EURASIP Conference, 19-20 Sept. 2005
[10] Joseph Sahaya Kulandia Rai, Arokiasamy Shyam Prabu, Narayanan Vikram, and Joerg Schoebel, “Spatial Correlation and MIMO Capacity of Uniform Rectangular Dipole Arrays,” IEEE Antennas and Wireless Propagation Letters, Vol.7, pp.97-100,2008
[11] Tamer A. Samir, Said Elnoubi and Ayman Elnashar, ”Class of Minimum Bit Error Rate Algorithms,” Advanced Communication Technology, The 9th International Conference(ICACT’07), Gangwon-Do, South Korea, 12-17 Feb. 2007, Vol.1, pp.168-173
[12] S. K. Young and J. S. Thompson, “A three-dimensional spatial fading correlation model for uniform rectangular arrays,” IEEE Antennas and Wireless Propagation Letters, Vol.2, pp.182-185, 2003
[13] 陳煥昇, Spatial Correlation and BER Performance of Antenna Arrays in Mobile Radio Environment, 國立台灣大學電信工程研究所碩士論文,2006
[14] [Online] Available: http://integrals.wolfram.com
[15] S. K. Yong and J. S. Thompson,” The effect of various channel conditions on the performance of different antenna array architecture,” IEEE Vehicular Technology Conference, 6-9 Oct. 2003, Vol.1, pp.198-202
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42939-
dc.description.abstract在行動通訊系統中,多重路徑傳遞會造成信號強度的衰減。為了減低這些通道所造成的損傷,天線陣列常被用來改善信號品質。由於天線陣列的性能會受到多重路徑通道的空間特性的影響,因此我們在第四、五、六章推導均勻分布線性陣列、均勻分布圓形陣列、同心圓陣列這三種天線陣列架構,個別在角度擴散為均勻分布和截高斯分布下的空間相關性函數,並且經由實驗模擬討論空間相關性對位元錯誤率的影響,以及比較天線陣列間在位元錯誤率的差異。
最小位元錯誤率準則的設計是為了直接最小化位元錯誤率,和其他藉由最佳化其他變數(如輸出信號對干擾加雜訊之功率比或均方誤差),間接地降低位元錯誤率的準則有所不同。最小位元錯誤率準則已被證實能比傳統的最小均方誤差準則達到較佳的位元錯誤率表現,在本論文中對最小位元錯誤率準則及其可適性演算法做一番討論,並且經由實驗模擬比較與最小均方誤差準值位元錯誤率上的差異。
zh_TW
dc.description.abstractIn mobile radio communications, multipath propagation causes signal strength fluctuation. To mitigate these channel impairments, antenna arrays are usually used to improve signal quality. Since the functionality of the antenna array is based on spatial properties of the mulitipath channel , we derive spatial correlation equations of the uniform linear array (ULA), the uniform circular array(UCA), and the concentric ring array (CRA) for two types of angle spread distributions(uniform distribution and truncated Gaussian distribution) in chapters 4, 5, and 6. We discuss the effect of the spatial correlation on the bit error rate and also compare the difference of the bit error rate between these antenna arrays by simulation results.
Unlike other algorithms that indirectly minimize the bit error rate by optimizing other variables (e.g. Signal to Interference plus Noise Ratio or Mean Square Error), the design of the minimum bit error rate (MBER) algorithm is used to directly minimize the bit error rate. It is demonstrated that the MBER algorithm can achieve better BER performance than the MMSE algorithm. We conduct researches on the MBER algorithm and the adaptive MBER algorithm. We compare the MEBR algorithm and the MMSE algorithm by BER simulation results.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T01:29:39Z (GMT). No. of bitstreams: 1
ntu-98-R96942128-1.pdf: 17467353 bytes, checksum: aa1100ebf56472fe716ad6822802160e (MD5)
Previous issue date: 2009
en
dc.description.tableofcontents第一章 緒論................................................................................................................1
第二章 Antenna-array-aided SDMA架構及行動通訊通道介紹..........................3
2.1 Antenna-array-aided SDMA以及STE assisted MUD架構介紹………3
2.2行動通訊通道介紹……………………………………………………..6
第三章 最小位元錯誤率法介紹及在固定通道環境下實驗模擬…………………9
3.1 最小均方誤差法(Minimum mean square error, MMSE)……………...9
3.2 最小位元錯誤率法(Minimum bit error rate, MBER)………………..10
3.3 可適性最小位元錯誤率法…………………………………………...12
3.3.1 Block-Data Adaptive MBER (BAMBER)……………………..12
3.3.2 Stochastic Gradient Adaptive MBER (LBER)…………………13
3.4 固定通道環境下實驗模擬…………………………………………...14
第四章 行動通訊環境下,ULA與UCA二維空間相關性與位元錯誤率比較….27
4.1 ULA的指引向量和空間相關性的推導及實驗模擬………………...28
4.2 UCA的指引向量和二維空間相關性的推導及實驗模擬…………...42
4.3 ULA與二維UCA位元錯誤率比較………………………………….57
4.3.1 單一使用者在MRC下位元錯誤率比較………………………57
4.3.2 多使用者在STE assisted MUD架構下位元錯誤率比較……..64
第五章 行動通訊環境下,UCA與CRA二維空間相關性與位元錯誤率比較….75
5.1 二維CRA的空間相關性推導及實驗模擬…………………………..76
5.2 CRA天線陣列因擺放的幾何位置不同,造成位元錯誤率表現不同
的分析比較……………………………………………………………94
5.2.1 單一使用者在MRC combining下位元錯誤率比較…………..94
5.2.2 多使用者在STE assisted MUD架構下位元錯誤率比較……104
5.3 二維UCA和二維CRA的位元錯誤率比較………………………..115
5.3.1 單一使用者在MRC combining下位元錯誤率比較………..115
5.3.2 多使用者在STE assisted MUD架構下位元錯誤率比較…..120
第六章 行動通訊環境下,UCA與CRA三維空間相關性與位元錯誤率比較....132
6.1 三維UCA 的空間相關性推導及實驗模擬………………………..132
6.2 三維CRA的空間相關性推導及實驗模擬…………………………140
6.3 CRA天線陣列因擺放的幾何位置不同,造成位元錯誤率表現不同
的分析比較…………………………………………………………..151
6.3.1 單一使用者在MRC combining下位元錯誤率比較…………151
6.3.2 多使用者在STE assisted MUD架構下位元錯誤率比較……157
6.4 三維UCA與三維CRA的位元錯誤率比較……………………….163
6.4.1 單一使用者在MRC combining下位元錯誤率比較…………163
6.4.2 多使用者在STE assisted MUD架構下位元錯誤率比較……167
第七章 結論............................................................................................................176
參考文獻....................................................................................................................178
dc.language.isozh-TW
dc.subject可適性天線陣列zh_TW
dc.subject無線通訊系統zh_TW
dc.subjectAdaptive Antenna Arrayen
dc.subjectWireless Communication Systemen
dc.title使用可適性天線陣列對於無線通訊系統性能之影響zh_TW
dc.titleResearch on Performance of Wireless Communication Systems Using Adaptive Antenna Arraysen
dc.typeThesis
dc.date.schoolyear97-2
dc.description.degree碩士
dc.contributor.oralexamcommittee王晉良,陳巽璋
dc.subject.keyword可適性天線陣列,無線通訊系統,zh_TW
dc.subject.keywordAdaptive Antenna Array,Wireless Communication System,en
dc.relation.page179
dc.rights.note有償授權
dc.date.accepted2009-07-21
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電信工程學研究所zh_TW
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