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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蘇柏青 | |
| dc.contributor.author | Feng-Jie Yeh | en |
| dc.contributor.author | 葉逢傑 | zh_TW |
| dc.date.accessioned | 2021-06-16T10:43:05Z | - |
| dc.date.available | 2014-08-14 | |
| dc.date.copyright | 2013-08-14 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-08-13 | |
| dc.identifier.citation | [1] H. Sampath, S. Talwar, J. Tellado, V. Erceg, and A. Paulraj, “A fourthgeneration
MIMO-OFDM broadband wireless system: design, performance, and field trial results,” IEEE Commun. Mag., vol. 40, no. 9, pp. 143–149, Sept. 2002. [2] E. Moulines, P. Duhamel, J. F. Cardoso, and S. Mayrargue, “Subspace methods for the blind identification of multichannel FIR filters,” IEEE Trans. Signal Processing, vol. 43, no. 2, pp. 516–525, Feb. 1995. [3] N. Chotikakamthorn and H. B. Suzuki, “On identifiability of OFDM blind channel estimation,” IEEE Trans. Veh.Technol., vol. 4, pp. 2358–2361, 1999. [4] B. Muquet, M. de Courville, and P. Duhamel, “A subspace based blind and semiblind channel identification method for OFDM systems,” in IEEE Work. Signal Process. Adv. Wireless Commun., pp. 170–173, May 1999. [5] A. Scaglione, G. B. Giannakis, and S. Barbarossa, “Redundant filter bank precoders and equalizers Part II: Blind channel estimation, synchronization, and direct equalization,” IEEE Trans. Signal Processing., vol. 47, no. 7, pp. 1988– 2006, Jul. 1999. [6] X. Cai and A. N. Akansu, “A subspace method for blind channel identification in OFDM systems,” in Proc. IEEE ICC, New Orleans, LA, vol. 2, pp. 929–933, Jun. 2000. [7] X. Zhuang, Z. Ding, and A. L. Swindlehurst, “A statistical subspace method for blind channel identification in OFDM communications,” in Proc. IEEE Int. 82 Conf. Acoustics, Speech, Signal Processing (ICASSP), Istanbul, Turkey, vol. 5, pp. 2493–2496, Jun. 2000. [8] B. Muquet, M. de Courville, and P. Duhamel, “Subspace-based blind an semiblind channel estimation for ofdm systems,” Signal Processing, IEEE Transactions on, vol. 50, no. 7, pp. 1699–1712, July 2002. [9] H. Bolcskei, R. W. Heath, and A. J. Paulraj, “Blind channel identification and equalization in OFDM-based multiantenna systems,” IEEE Trans. Signal Processing, vol. 50, no. 1, pp. 96–109, Jan. 2002. [10] C. Li and S. Roy, “Subspace-based blind channel estimation for OFDM by exploiting virtual carriers,” IEEE Trans. Wireless Commun, vol. 2, no. 1, pp. 141– 150, Jan. 2003. [11] Y. Zeng and T.-S. Ng, “A semi-blind channel estimation method for multiuser multiantenna OFDM systems,” IEEE Trans. Signal Processing., vol. 52, no. 5, pp. 1419 – 1429, May. 2004. [12] A. Petropulu, R. Zhang, and R. Lin, “Blind OFDM channel estimation through simple linear precoding,” IEEE Trans. Wireless Communications, vol. 3, no. 215, pp. 1–18, Mar. 2004. [13] B. Su and P. P. Vaidyanathan, “Generalized subspace-based algorithms for blind channel estimation in cyclic prefix systems,” presented at the 40th Asilomar Conf. Signals, Syst., Comp., Pacific Grove, CA, vol. 4, pp. 1796–1800, Nov. 2006. [14] B. Su and P. Vaidyanathan, “Subspace-based blind channel identification for cyclic prefix systems using few received blocks,” IEEE Trans. Signal Processing., vol. 55, no. 10, pp. 4979 –4993, Oct. 2007. [15] ——, “Performance analysis of generalized zero-padded blind,” IEEE Trans. Signal Processing., vol. 14, no. 11, pp. 789–792, Nov. 2007. 83 [16] C. Shin, R. Heath, and E. J. Powers, “Blind channel estimation for MIMOOFDM systems,” IEEE Trans. Veh.Technol., vol. 56, no. 2, pp. 670–685, Mar. 2007. [17] F. Gao, Y. Zeng, A. Nallanathan, and T.-S. Ng, “Robust subspace blind channel estimation for cyclic prefixed MIMO ODFM systems: algorithm, identifiability and performance analysis,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 2, pp. 378 –388, Feb. 2008. [18] J.-G. Kim, J.-H. Oh, and J.-T. Lim, “Subspace-based channel estimation for MIMO-OFDM systems with few received blocks,” IEEE Signal Processing. Lett., vol. 19, no. 7, pp. 435–438, July 2012. [19] C. C. Tu and B. Champagne, “Blind recursive subspace-based identification of time-varying wideband MIMO channels,” IEEE Trans. Veh.Technol., vol. 61, no. 2, pp. 662–674, Feb. 2012. [20] B. Su and S.-S. Huang, “Subspace-based blind channel estimation in cp systems by repeated use of remodulated received blocks,” Signal Processing Conference (EUSIPCO), European., pp. 2581 –2585, Aug. 2012. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61042 | - |
| dc.description.abstract | In this thesis, we studied subspace (SS) based blind channel estimation methods for multi-input and multi-output (MIMO) cyclic prefixing (CP) based orthogonal frequency division multiplexing (OFDM) systems. Two categories of algorithms are proposed: the first one is based on composition of two consecutive blocks while the other on remodulation of these blocks. The proposed algorithms in both categories all require only few received blocks to satisfy the persistency of excitation (POE) criterion. Moreover, some particular algorithms in both categories, unlike a recently reported method that also uses few received blocks, do not require the number of receive antennas to be greater than that of transmit antennas. Simulation results demonstrate the capability of the proposed methods to perform blind channel estimation using few received blocks. Compared to multiple existing SS methods, significant performance improvements of these proposed methods are observed given the same amount of available received data in some common scenarios. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T10:43:05Z (GMT). No. of bitstreams: 1 ntu-102-R00942103-1.pdf: 971708 bytes, checksum: 6d09201104365e451c9465e8da0b39e6 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | Abstract i
List of figures iv List of tables vii 1 Introduction 1 2 System Model and Problem Formulation 6 3 Proposed Channel Estimation Method 10 3.1 Category 1: Repeated Use of Composite Blocks . . . . . . . . . . . . 11 3.1.1 Algorithm 1: Repeated Use of Composite Blocks, a MIMO Version of [14] . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.1.2 Algorithm 2: An Extension to Algorithm 1 Exploiting Circulant Properties of Received Data . . . . . . . . . . . . . . . . 15 3.1.3 Algorithm 3: Repeated Use of Truncated Composite Blocks . 18 3.2 Category 2: Repeated Use of Remodulated Blocks . . . . . . . . . . . 23 ii 3.2.1 Algorithm 4: Repeated Use of Remodulated Blocks, a MIMO Version of [20]: . . . . . . . . . . . . . . . . . . . . . . . . . . 23 3.2.2 Algorithm 5: A Novel Combination: Remodulation + Repetition + Circulant Property . . . . . . . . . . . . . . . . . . . . 26 3.3 An Example for the Five Proposed Algorithms . . . . . . . . . . . . . 29 3.4 System Complexity . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 4 Simulation Results 39 4.1 The Comparison of Algorithm 1, Algorithm 2, the Method in [17], and the Method in [18] . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 4.2 The Comparison of the method in [18], Algorithm 3, and Algorithm 5 45 4.3 The Comparison of Algorithm 1, Algorithm 2, and Algorithm 4 . . . 57 4.4 The Comparison of Algorithm 2, Algorithm 3, Algorithm 4, Algorithm 5, the Method in [17] and the Method in [18] . . . . . . . . . . . . . . 60 5 Conclusion 79 Bibliography 82 | |
| dc.language.iso | en | |
| dc.title | 多輸入多輸出正交分頻多工系統下利用少數接收區塊且基於子空間方法之盲通道估測 | zh_TW |
| dc.title | Subspace-based Blind Channel Estimation for Cyclic Prefixed MIMO-OFDM Systems Using Few Received Blocks | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 葉丙成,林士駿,馮世邁 | |
| dc.subject.keyword | 盲通道估測,多輸入多輸出正交分頻多工,子空間, | zh_TW |
| dc.subject.keyword | Blind Channel Estimation,MIMO-OFDM,Subspace, | en |
| dc.relation.page | 84 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-08-13 | |
| 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 |
| 顯示於系所單位： | 電信工程學研究所 | |
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