Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/6122
標題: 應用新型半球形解碼演算法的多輸入多輸出等化器之VLSI實現
VLSI Implementation of MIMO Detection Using the New Semi-Sphere Decoding Algorithm
作者: 陳泓烈
Chen, Hung-Lien
關鍵字: 多輸入多輸出;MIMO;空間多工;SDM
出版社: 電機工程學系所
引用: [1] IEEE Std 802.11-1999(Reaff2003) Wireless LAN Medium Access Control(MAC) and Physical Layer (PHY) Specifications. [2] IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed and Mobile Broadband Wireless Access Systems Amendment 2: Physical and Medium Access Control Layers for Combined Fixed and Mobile Operation in Licensed Bands and Corrigendum 1. [3] S. M. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE Jour. Of Selected Area on Communication, vol. 16, pp. 1451-58, Oct.1998. [4] B. M. Hochwald and T. L. Marzetta, “Unitary space-time modulation for multiple-antenna communications in rayleigh flat fading,” IEEE Transactions Information Theory, vol. 46, no. 2, MARCH 2000. [5] Branka Vucetic, Jinhong Yuan, “Space-Time Coding,” Wiley, 2003. [6] G.J.Foschini, ”Layered space-time architecture for wireless communications in fading environments when using multi-element antennas,” Bell Laboratory Technology Journal, pp.41-59, 1996. [7] Mohinder Jankirman ,“Space-time codes and MIMO systems,” Artech House, 2004. [8] J.K.Zhang, A.Kavcic,K.M.Wong,”Equal-diagonal QR decomposition and its application to precoder design for successive-cancellion detection,” IEEE Transactions Information Theory, vol.51, no.1,Jan. 2005. [9] Z. Guo, F. Edman, P. Nilsson,V. Owall, “On VLSI implemeentations of MIMO detectors for future wireless communications,” Department of Electrsicience, Lund University, SE-22100 Lund, Sweden. [10] A.Burg, M.Borgmann, H.Bolcskei, J.C.Hansen, and A.Brug,”VLSI implementation of MIMO detection using the sphere decoder algorithm,” IEEE Journal of Solid-State Circuits, vol.40, no.7, JULY 2005. [11] Moose, P.H.,”A technique for OFDM frequency offset correction”, IEEE Transactions Information Theory, Vol.42, No.10, pp.2908-2914, Oct.1994. [12] J.G.Proakis, Digital Communicetions, 4thed. McGraw-Hill, 2001. [13] E.Zimmermann, W.Rave, G.Fettweis, “On the complexity of sphere decoding,” Dresden University of Technology, Vodafone Chair Mobile Communications Systems, D-01062 Dresden, Germany. [14] O. M. Damen, H. E. Gamal, and G. Gaire, “On the complexity of ML detection and the search for the closest lattice point,” IEEE Transactions on Information Theory, vol. 59, no. 10, pp. 2400-2414, Oct. 2003. [15] Zhaohui Liu; Dickson, K.; McCanny, J.V.,” Application-specific instruction set processor for SoC implementation of modern signal processing algorithms,” IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, vol. 52, no. 4, APRIL 2005. [16] 余其曄, “MIMO-OFDM Baseband Transceiver Design for High Through Wireless LAN”, 國立台彎大學碩士論文,民國93年7月. [17] Sobhanmanesh, F.; Nooshabadi, S.” A robust QR-based detector for V-BLAST and its efficient hardware implementation”, Intelligent Signal Processing and Communication Systems, pp.482 – 485, Nov. 2004. [18] EWC, http://www.enhancedwirelessconsortium.org/home/ [19] van Zelst, A.; Schenk, T.C.W., “Implementation of a MIMO OFDM-based wireless LAN system,” IEEE Transactions On Signal Processing, vol. 52, no. 2, FEBRUARY 2004. [20] 吳秉卓, “IEEE 802.11n基頻接收機設計與實現”,國立交通大學碩士論文,中華民國九十四年七月.
摘要: 
隨著無線網路的速度需求日益增快,無線通訊系統除了傳統的OFDM調變外,傳送與接收的天線數量已由傳統的單一天線變成了多根天線系統。多根天線系統除了可以增加頻寬的使用率,增加傳輸速度外;其在接收端等化器部分亦會隨著天線數量的增加而使得等化偵測訊號的困難度提高。因此目前的研究方面,除了傳統的MMSE、ZF與MLD以外,還有在傳送端先行編碼的STBC,以及在接收端利用通道資訊作偵測處理的VBLAST、球形解碼演算法等。其中STBC由於在傳送端先行對資料編碼,因此強調的是資料偵測還原的可靠度;而VBLAST與Sphere Decoding利用通道狀態資訊來對資料進行還原,在資料的傳送時皆為每根天線傳送不同資料,所以雖然偵測的效能較差,但卻可以提高傳輸速度。而VBLAST與球形解碼演算法又在方法上有所差異,VBLAST的硬體架構較球形解碼演算法簡單但效能較差;球形解碼演算法雖然效果佳但其硬體架構複雜,處理速度亦較慢。
本論文的研究重點在於提出一新型的半球形解碼演算法及其架構,其在效能上優於VBLAST且硬體複雜度上低於球形解碼演算法。我們也設計了半球形解碼演算法的硬體架構,並將之利用UMC0.18製程加以設計及 FPGA之實現。

The design of the next-generation WLANs is based on orthogonal frequency-division multiplexing (OFDM) and the antenna number is developed from only one antenna to multiple antennas at both transmitter and receiver. Multiple antennas system can increase throughput and network capacity. However, these improvements come at a significant increase in difficulty of MIMO receiver's signal detection. The equalizer's algorithm includes MMSE, ZF, MLD, STBC, VBLAST and Sphere Decoding. Because the signal are precoded at the transmitter when STBC is used, the advantage of STBC is the reliability of signal recovery. The VBLAST and Sphere Decoding employ channel state information to recover the signal, and each antennas carry different signal data, so that the performance is worse than STBC but the throughput is increased. The VBLAST is simpler than Sphere Decoding in hardware architecture and processing speed. The Sphere Decoding is better than VBLAST in BER performance.
In this thesis, a new Semi-Sphere Decoding algorithm and architecture is proposed. The new algorithm has better performance than VBLAST and a simpler hardware architecture than Sphere Decoding. We then design the hardware architecture of Semi-Sphere Decoding with UMC0.18um CMOS 1p6m technology and FPGA implementation.
URI: http://hdl.handle.net/11455/6122
其他識別: U0005-0308200613500600
Appears in Collections:電機工程學系所

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