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標題: 適用於多載波分碼多工通訊系統之適應性盲蔽接收機
Adaptive Blind Receivers for MC/CDMA Communication Systems
作者: 陳建宏
Chen, Chien-Hung
關鍵字: 分碼多工;CDMA;多重存取干擾;盲蔽式;廣義旁波瓣消除;MAI;blind;GSC
出版社: 電機工程學系所
引用: [1] N. Zecevic and J. H. Reed, “Blind adaptation algorithm for direct-sequence spread-spectrum CDMA single-user detection,”IEEE 47th VTC,vol. 3,4-7 May 1997. [2] M. Majmundar, N. Sandhu, and J. H. Reed, “Adaptive single-user receivers for direct-sequence spread-spectrum CDMA systems,”IEEE Trans. Veh.Technol., vol. 49, no. 2, pp. 379-389, March 2000. [3] R. A. Soni and W. K. Jenkins, “Channel equalization with adaptive …ltering and the preconditioned conjugate gradient algorithm,”Processings of ISCAS '97, vol. 4, pp. 2284-2287, 9-12 June. 1997. [4] Fang-Biau Ueng, Jun-Da Chen and Po-Yu Chen, “Blind Adaptive DS/CDMA Receivers in Multipath Fading Channels,”in Proc. IEEE VTC, Sep. 2004. [5] S. Haykin, Adaptive Filter Theory. Prentice Hall, NJ. 2001. [6] D.H. Brandwood, “A Complex gradient operator and its application in adaptive array theory,”IEEE Proceedings, Vol.130, pp. 11-16, February 1983. [7] U. Madhow and M. L. Honig, “MMSE interference suppression for direct-sequence spread-spectrum CDMA,”IEEE Trans. Commun., vol. 42, pp. 3178-3188, Dec. 1994. [8] H. L. Van Trees, Optimum Array Processing. Jan. 2002. [9] M. J. Rude and L. J. Gri¢ ths, “Incorporation of linear constraints into the constant modulus algorithm,” ICASSP-89, vol. 2, 23-26, pp. 968-971, May. 1989. [10] D. N. Kalofonos, M. Stojanovic and J. G. Proakis, “Performance of Adaptive MC-CDMA Detectors in Rapidly Fading Rayleigh Channels,”IEEE Trans. on Commun., vol. 2, pp. 229-239, March 2003. [11] Fang-Biau Ueng, Jun-Da Chen, Shang-Chun Tai, Sheng-FuWang, Hsien Su and Li-Der Jeng, “Adaptive MC-CDMA and MC-DS-CDMA Receivers for Multi-user and Multipath Fading Communications,”in Proc. IWCMC, pp. 821-826, July 2006. [12] S. Hara and R. Prasad, “Overview of Multicarrier CDMA,”IEEE Commun. Mag., pp. 126-133, Dec. 1997 [13] R. Negi and J. M. Cioffi, “Blind OFDM Symbol Synchronization in ISI Channel,”IEEE Trans. on Commun., vol. 50, pp. 1525-1534, Sep. 2002. [14] S. Nahm and W. Sung, “Time-domain equalization for the orthogonal multi-carrier CDMA system,”GLOBECOM '96, vol. 3, 18-22, pp. 1583-1587, Nov. 1996. [15] H. Liu, G. Xu, “A subspace method for signature waveform estimation in synchronous CDMA systems,”IEEE Trans. Commun., Vol. 44, pp. 1346-1354, Oct. 1996. [16] H. Liu, K. Li, “A decorrelating RAKE receiver for CDMA communications over frequency-selective fading channels,”IEEE Trans. Commun., vol. 47, pp. 1036-1045, July 1999. [17] B. R. Breed and J. Strauss, “A short proof of the equivalence of LCMV and GSC beamforming,”IEEE Signal Processing Letters, vol. 9, pp. 168-169, June. 2002. [18] L. Gri¢ ths and C. Jim, “An alternative approach to linearly constrained adaptive beamforming,”IEEE Trans. Antennas and Propagation, Vol. 30, pp. 27-34, Jan. 1982. [19] G.H. Golub and C.F, VAN LOAN, Matrix Computations. 3rd Edition. 1996. [20] M. Martone, “Blind adaptive detection of DS/CDMA signals on time-varying multipath channels with antenna arrays using high-order statistics,” IEEE Trans. Commun., vol. 48, pp. 1590-1600, Sep. 2000. [21] M. L. Honig, M. J. Shensa, and S. L. Millar, “Performance of adaptive linear interference suppression for DS-CDMA in the presence of flat Rayleigh fading,” IEEE 47th VTC, vol. 3, 4-7, May. 1997. [22] Z. Xie, R. T. Short and C. K. Rushforth, “A family of suboptimal detectors for coherent multiuser communications,”IEEE J. Seletct. Areas Commun., vol. 8, pp. 285-290, May 1990. [23] Min Wu and F. Cornett, “Discrete-time and continuous-time constant modulus algorithm analysis,”Proceedings of the 47th Southeastern Symposium on System Theory, pp. 504-508, 12-14, March. 1995. [24] E. Del Re, R Fantacci, S. Morosi, and A. Pugi, “Advanced blind adaptive multi-user detector for communications in nonstationary multipath fading channel,” IEEE Trans. Veh. Technol., Vol. 50, no. 6, pp. 1497-1506, Nov. 2001. [25] L.Mucchi, S. Morosi, E. Del Re, and R. Fantacci, “A new algorithm for blind adaptive multiuser detection in frequency selective multipath fading channel,” IEEE Trans. Wireless Commun., Vol. 3, no. 1, pp. 235-247, Jan. 2004. [26] X. Wang and H.V. Poor, “Blind adaptive multiuser detection in multipath CDMA channels based on subspace tracking,”IEEE Trans. Signal Processing, Vol. 46, no. 11, pp. 3030-3044, Nov. 1998. [27] U. Madhow, “Blind adaptive interference suppression for direct-sequence CDMA,”Processing of the IEEE, Vol. 86, no. 10, pp. 2049-2069, Oct. 1998.
隨著通訊技術的進步,提供高資料量以及高品質的傳輸已經成為近年來電信研究領域中最重要的挑戰。在多載波分碼多工的行動通訊系統中,因為時變性多重路徑的通道會造成嚴重的干擾,而使得系統容量下降,因此如何消除訊符間干擾(Intersymbol interference)及多重存取干擾(Multiple-access interference)皆為主要目標。本論文提出三種適應性濾波器架構來解決上述的問題,我們透過Variance-Oriented Approach(VOA) 演算法來實現,其概念是使用適應性濾波器所估測出來的訊號能量去逼近所要求的訊號能量,並且把VOA這一個演算法分別套用在有限脈衝響應濾波器(Finite Impulse Response Filter)、可調式解展頻濾波器(Despreader Filter)以及本論文主要提出的廣義旁波瓣消除濾波器(GSC Filter)三種架構上。廣義旁波瓣消除濾波器原本是用於空間上,為了消除其他入射角度干擾訊號的方法。我們將此概念轉換應用於頻率域上面,來有效抑制多使用者所造成的多重存取干擾。然後我們將討論此三種系統架構在解碼時訊號處理的過程,比較分析這三種系統在干擾環境下的效能表現。

The development of wireless communication systems for high data rate and high link quality transmission between transmitter and receiver has become the most important challenge in the telecommunication research area. In order to eliminate multiple-access interference (MAI) and intersymbol interference (ISI) in multi-carrier code division multiple access (MC/CDMA) multiuser communication systems, In this paper, we propose several receiver structures and employ the property of the discreteness of the input data symbol to derive the blind algorithms. These proposed adaptive receivers are updated in symbol-interval, so their computational loading is lower than the chip-interval based adaptive receivers. We use the concept that the variance of despreading result approach to the variance of desired signal to be the cost function. We use the Variance-Oriented Approach(VOA) algorithm, and apply VOA to each proposed scheme with CDMA system. Especially, we apply the Generalized Sidelobe Canceller(GSC) scheme, that is generally the concept of spatial domain in beamforming system, to eliminate the MAI by one particular constraint in frequency domain. Simulation examples are shown to demonstrate the effectiveness and comparison of the proposed blind adaptive receivers.
其他識別: U0005-2708200917542000
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