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標題: 單載波與多載波碼分多址通訊系統之訊號處理:聯合檢測,適應性渦輪等化器與收斂性分析
Signal Processing for Single- and Multi-Carrier CDMA Communication System: Joint Detection, Adaptive Turbo Equalization and Convergence Analysis
作者: 王宣富
Wang, Hsuan-Fu
關鍵字: JD;聯合檢測器;OFDM-CDMA;MC-DS-CDMA;LMS;Adaptive Turbo Equalizer;正交分頻多工-碼分多址;多載波-直接序列-碼分多址;最小均平方;適應性渦輪等化器
出版社: 電機工程學系所
引用: [1] S. Hara., R. Prasad., “Overview of multicarrier CDMA,”IEEE Communications Magazine, vol 35, p.p. 126-133, Dec. 1997. [2] S. Nahm and W. Sung, “Time-domain equalization for the orthogonal multi- carrier CDMA system,”IEEE Global Telecommunications Conference, vol. 3, pp. 1583-1587, Nov. 1996. [3] A. Klein, G. K. Kaleh, and P. W. Baier, “Zero forcing and minimum mean- square-error equalization for multiuser detection in code-division multiple- access channels,”IEEE Transactions on Vehicular Technology, vol 45, pp. 276- 287, May. 1996. [4] K. C. Hwang and K. B. Lee, “Performance Analysis of Low Processing Gain DS/CDMA Systems with Random Spreading Sequences,”IEEE Communica- tions Letter, VOL. 2, No. 12, pp. 315-317, Dec. 1998. [5] COST 207: Digital land mobile radio communications, …nal report, O¢ ce for O¢ cial Publication of the European Communication, Luxembourg, 1989. [6] International Telecommunications Union, Guidelines fro Evaluation of Radio Transmission Technologies for IMT-2000 (Recommendation ITU-R M.1225), 1997. [7] A.M.D. Turkmani, U.S. Goni, "Performance evaluation of maximal-length, Gold and Kasami codes as spreading sequences in CDMA systems", Universal Per- sonal Communications, vol. 2, pp. 970-974, 1993. [8] Nevio Benvenuto and Giovanna Soatrato, "Joint detection with low computa- tional complexity for hybrid TD-CDMA systems," IEEE Journal on Selected Areas in Communications, Vol. 19, pp.245- 253, May 2001. [9] L. Hanzo,L-L. Young, E-L. Kuan and K. Yen, Single and Multi-Carrier DS- CDMA: Milti-User Detection, Space-Time Spreading, Synchronisation, Net- working and Standards, Wiley, 2004. [10] Prabhakar Chitrapu, Wideband TDD: WCDMA for Unpaired Spectrum, Wiley, 2004. [11] S. Verdu, Multiuser Detection, Cambridge University Press, 1998. [12] H.V. Poor, An introduction to Signal Detection and Estimation. 2nd ed. Springer, 1998. [13] A. Duel-Hallen, “Decorrelating decision-feedback multiuser detector for syn- chronous code-division multiple access channel,”IEEE Transactions on Com- munications, vol 41, pp. 285-290, Feb. 1986. [14] David S. Watkins, Fundamentals of Matrix Computations, Second Editions, Wiley, 2002. [15] B. Steiner, “Interference cancellation vs joint detection for the uplink of the joint detection mobile radio concept,”IEE Colloquium on CDMA Techniques and Application for Third Generation Mobile Systems, pp. 3/1-3/6, May. 1997. [16] S. G. Glisic, Advanced Wireless Communications, Wiley, 2004. [17] Di. V. Sarwate and M. B. Pursley, “Crosscorrelation Properties of Pseudoran- dom and Related Sequences,”Proceedings of the IEEE, vol. 68, May 1980. [18] Nadav Levanon and Eli Mozeson, Radar Signals, Wiley, 2004. [19] Kaiser S., “OFDM code division multiplexing in fading channels,”IEEE Trans. on Comm., vol.50, pp.1266-1273, Aug. 2002. [20] Kaiser S. and Hagenauer J., “Multi-Carrier CDMA with Iterative Decoding and Soft-Interference Cancellation,”in Proc. IEEE Global Telecommunications Conference (GLOBECOM'97), Phoneix, USA, pp. 6-10, Nov. 1997. [21] C. Berrou, A. Glavieux, and P. Thitimajshima, “Near Shannon limit error- correcting coding and decoding: Turbo codes,” in Proc. IEEE Int. Conf. on Communications, Geneva, Switzerland, May 1993. [22] L. R. Bahl et al., “Optimal decoding of linear codes for minimizing symbol error rate,”IEEE Trans. Inform. Theory, vol. IT-20, pp. 284-287, Mar. 1974. [23] S. Lin and J. J. Costello, Error Control Coding, 2nd Ed., Upper Saddle River, NJ: Pearson Prentice-Hall, 2004 [24] C. Douillard, M. Jezequel, C. Berrou, A. Picart, P. Didier, and A. Glavieux, "Iterative correction of intersymbol interference: Turbo equalization," European Trans. on Telecomm., vol. 6, pp. 507-511, Sep-Oct 1995. [25] X. Wang and H. Poor, "Iterative (turbo) soft interference cancellation and de- coding for coded CDMA," IEEE Trans. on Comm., vol. 47, no. 7, pp. 1046- 1061, 1999. [26] M. Tuchler, R. Koetter, and A. Singer, "Turbo equalization: principles and new results," IEEE Trans. on Comm., vol. 50, pp 754-767, May 2002. [27] M. Tuhler, A. Singer, and R. Kotter, “Minimum mean squared error (MMSE) equalization using priors,”IEEE Trans. Signal Processing, vol. 50, pp. 673-683, Mar. 2002. [28] D. Koulakiotis and H. Aghvami, “Data detection techniques for DS/CDMA mobile systems: A review,”IEEE Personal Commun., vol.7, pp. 24-34, June 2000 [29] J. G. Proakis, Digital Communications, 5th ed. McGraw-Hill, 2008. [30] G. Woodward and B.S. Vucetic, “Adaptive detection for DS-CDMA,”Proceed- ings of the IEEE, vol 86, pp. 1413 - 1434, July 1998. [31] M. Majmundar, N. Sandhu and J. H. Reed,”Adaptive single-user receivers for direct-sequence spread-spectrum CDMA systems,”IEEE Trans. on Vehicular Technology, vol. 49, No. 2, pp. 379-389, March 2000. [32] P. B. Rapajic and B. B. Vucetic,”Adaptive receiver structures for asynchronous CDMA systems,”IEEE J. Select. Areas Commun., vol. 12, no. 4, pp.685-697, 1994. [33] P. B. Rapajic and B. B. Vucetic,”Linear adaptive transmitter-receiver structures for asynchronous CDMA systems,”European Trans. Telecommun., vol. 6, no. 1, Jan./Feb. 1995. [34] M. Abdulrahman, A. U. H. Sheikh, and D. D. Falconer, “Decision feedback equalization for CDMA in indoor wireless communications,” IEEE J. Select. Areas Commun., vol. 12, pp. 698-706, May 1994. [35] P. B. Rapajic and B. B. Vucetic, ”Adaptive Single-user Receiver for Asynchro- nous CDMA systems in the Narrowband Interference Environment,”Proc. 1st Int'l. Wksp. Mobile and Per. Comm. Sys., Adelaide, Australia, Nov. 12-13, 1992, pp.143-148. [36] U. Madhow and M. L. Honig, “Minimum mean squared error interference sup- pression for direct-sequence spread-spectrum code-division multiple-access,”in Proc. 1st Int. Conf. Universal Personal Commun.,Dallas, TX, Sept. 28-Oct. 1, 1992, pp. 273-277. [37] U. Madhow and M. L. Honig, “Error probability and near-far resistance of minimum mean squared error interference suppression schemes for CDMA,”in Proc. IEEE GLOBECOM, 1992, pp. 1339-1343. [38] U. Madhow and M. L. Honig, “MMSE interference suppression for direct- sequence spread-spectrum CDMA,”IEEE Trans. Commun., vol. 42, pp.1339- 1343, Dec. 1994. [39] S. L. Miller, “An adaptive direct-sequence code-division multiple-access receiver for multi-user interference rejection,”IEEE Trans. Commun., vol. 43, pp. 1746- 1755, Feb./Mar./Apr. 1995. [40] P. Monogioudis, R. Tafazolli, and B. G. Evans, “LFSE interference cancellation in CDMA systems,”in IEEE Int. Conf. Communications, 1994, pp. 1160-1163. [41] B. Mulgrew, “Applying radial basis functions,”IEEE Signal Processing Mag., pp. 50-61, Mar. 1996 [42] T. J. Lim, Y. Gong, and B. Farhang-Boroujeny, “Convergence analysis of chip- and fractionally spaced LMS adaptive multi-user CDMA detectors,”IEEE Trans. Signal Processing, vol. 48, pp. 2219-2228, Aug. 2000. [43] S. Haykin, Adaptive Filter Theory, 4th ed. Englewood Cli¤s, NJ:Prentice-Hall, 2002. [44] B. Widrow et al., “Stationary and nonstationary learning characteristics of the LMS adaptive …lter,”Proc. IEEE, vol. 64, no. 8, pp. 1151-1162, Aug. 1976. [45] S. C. Douglas and W. Pan, “Exact expectation analysis of the LMS adaptive …lter,”IEEE Trans. Signal Processing, vol. 43, pp. 2863-2871, Dec. 1995. [46] V. Solo and X. Kong, Adaptive Signal Processing Algorithms. Englewood Cli¤s, NJ: Prentice-Hall, 1995. [47] S. C. Douglas and A. Cichocki, “On-line step-size selection for training of adap- tive systems,”IEEE Signal Process. Mag., vol. 14, no. 6, pp. 45-46, Nov. 1997. [48] K. M. Vijay. and B. W. Douglas, Digital Signal Processing (DSP) Handbook, CRC Press/IEEE Press, 2000. [49] J. E. Mazo, “On the independence theory of equalizer convergence,”Bell Syst. Tech. J., vol. 58, no. 5, pp. 963-993, 1979. [50] D. T. M. Slock, “On the convergence behavior of the LMS and the normalized LMS algorithms,”IEEE Trans. Signal Processing, vol. 41, pp. 2811-2825, 1993. [51] F. B. Ueng and L. D. Jeng, “Adaptive Receivers for DS/CDMA multi-user Communication,”IEEE Proc. on PIMRC, vol. 3, pp. 2139-2142, Sept. 2003. [52] F. B. Ueng, L. D. Jeng, J. D. Chen and J. Y. Yang, “Adaptive Receivers for DS/CDMA multi-user Communication in multi-path Fading Channels,”IEICE Trans. Commun., vol. E88-B, no. 2, pp. 687-697, Feb. 2005. [53] E. H. Dinan and B. Jabbari, “Spreading Codes for Direct Sequence CDMA and Wideband CDMA Cellular Networks,”IEEE Communications Magazine, vol.36, no. 9, pp. 4854, Sep. 1998. [54] S. G. Sankaran and A. A. (Louis) Beex, “Convergence behavior of a¢ ne projec- tion algorithms,”IEEE Trans. Signal Processing, vol. 48, pp. 1086-1096, Apr. 2000. [55] P. Scalart, "Convergence analysis of the NLMS algorithm with M-independent inputs," IEEE Proc. on ASSP, vol. 6, pp. 3849-3852, May 2001. [56] Ali. H. Sayed, Fundamental Adaptive Filtering, Wiley, 2003 [57] G. Ungerboeck, “Theory on the speed of convergence in adaptive equalizers for digital comunication,”IBM, J. Res. Develop., pp. 546-555, Nov. 1972. [58] Ali. H. Sayed, Adaptive Filters, Wiley, 2008 [59] S. K. Jones, R. K. Cavin III, andW. M. Reed, “Analysis of error-gradient adaptive linear estimators for a class of stationary dependent processes,”IEEE Trans. Inform. Theory, vol. IT-28, pp. 318-329, 1982. [60] P. S. R. Diniz and S. Werner, “Set-membership binormalized LMS data-reusing algorithms,”IEEE Trans. Signal Processing, vol. 51, pp. 124-134, Jan. 2003. [61] J. Apolinario, Jr., M. L. R. Campos, and P. S. R. Diniz, “Convergence analysis of the binormailzed data-reusing LMS algorithm,”IEEE Trans. Signal Process- ing, vol. 48, pp. 3235-3242, Nov. 2000. [62] P. S. R. Diniz and S. Werner, “Partial-update NLMS algorithms with data- selective updating,”IEEE Trans. Signal Process., vol. 52, no. 4, pp. 938-949, Apr. 2004. [63] M. L. R. de Campos and A. Antoniou, “A new quasi-Newton adaptive …ltering algorithm,”IEEE Trans. Circuits Syst. II, vol. 44, pp. 924-934, Nov. 1997.F. Adachi, D. Garg, S. Takaoka and K. Takeda, “Broadband CDMA techniques,” IEEE Trans. on Wireless, vol. 12, issue 2, pp. 8-18, April 2005. [64] M. A. Abu-Rghe¤, Introduction to CDMA Wireless Communications, Academic Press, 2007. [65] D. G. Manolakis, D. Manolakis, V. K. Ingle and S. M. Kogon, Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Fil- tering and Array Processing, Artech House, 2005. [66] V. Krishnamurthy, “Averaged stochastic gradient algorithms for adaptive blind multiuser detection in DS/CDMA systems,”IEEE Trans. Commun., vol. 48, issue 1, pp. 125-134, Jan. 2000. [67] V. Krishnamurthy, G. Yin, and S. Singh, “Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems,” IEEE Trans. Signal Process., vol. 49, issue 1, pp. 190-201, Jan. 2001. [68] Shinsuke Hara and Ramjee Prasad, “Multicarrier Techniques for 4G Mobile Communications,”Artech House, 2003. [69] Lie-Liang Yang and Lajos Hanzo, “Multicarrier DS-CDMA: A Multiple Access Scheme for Ubiquitous Broadband Wireless Communication,”IEEE Commu. Mag., pp. 116-124, Oct 2003 [70] Lie-Liang Yang, Multicarrier Communications, Wiley, 2009. [71] F. Adachi, D. Garg, S. Takaoka and K. Takeda, “Broadband CDMA tech- niques,”IEEE Trans. on Wireless, vol. 12, issue 2, pp. 8-18, April 2005. [72] E. L. Kuan and L. Hanzo, “Burst-by-burst adaptive multiuser detection CDMA: A framework for existing and future wireless standards,”Proc. IEEE, vol. 91, no. 2, pp. 278-302, Feb. 2003. [73] F. B. Ueng, H. F. Wang and J. C. Chang, “Convergence Analysis of Adaptive DS-CDMA Receivers in Multi-path Channels,”Signal Processing, vol. 89, issue 4, pp. 438-449, Apr. 2009. [74] S. U. H. Qureshi, “Adaptive equalization,”Proc. IEEE, vol. 73, no. 9, pp. 1349- 1387, Sep. 1985. [75] J. G. Proakis and J. H. Miller, “An adaptive receiver for digital signaling through channels with intersymbol interference,”IEEE Trans. on Information theory, vol. 15, issue 4, pp. 484-497, July 1969. [76] D. Gitlin and S. B. Weinstein, "On the Required Tap-Weight Precision for Digitally Implemented, Adaptive, Mean-Squared Equalizers," Bell Syst. Tech. J., vol. 58, no. 2, pp. 301-321, 1979. [77] T. L. Lai, “Stochastic approximation: invited paper,”Ann. Math. Statist. vol. 31, no. 2, pp. 391-406, 2003. [78] J. C. Spall, Introduction to Stochastic Search and Optimzation: Estimation, simualtion, and Control, Wiley, 2003. [79] H. J. Kushner, G. G. Yin, Stochastic Approximation and Recursive Algorithms and Applications, 2/e. Springer, 2003 [80] T. M. Apostol, Mathematical Analysis: A Modern Approach to Advanced Cal- culus, 2/e. Addison Wesley, 1974. [81] A. F. Molish, Wireless Communications, Wiley, 2005 [82] Joint Technical Committee for PCS T1 R1P1.4, Technical Report on RF Chan- nel Characterization and System Deployment Modeling, JTC(AIR)/94.09.23- 065R6, Sept. 1994.
Orthogonal frequency divisionmultiplexing-code divisionmultiple access (OFDMCDMA) has arrested a lot of attention, owing to the simple implementation and powerful resistance to frequency-selective channels and the code division multiple access (CDMA) with the suitability for multiuser systems. The proposed OFDM-CDMA joint detector (JD) do not require Discrete Fourier Transform (DFT) or Fast Fourier Transform (FFT) operations and can be used to compensate the channel distortion. Hence for hardware implementation, the proposed detectors are more efficient than the conventional methods. Three LMS algorithms based receiver architectures with adaptive equalizer and turbo decoder for MC-CDMA system are investigated in multipath channels. The performance of the proposed adaptive turbo equalizers is not only investigated in coherent MC-CDMA system, but also for non-coherent MCCDMA system with differential PSK (DPSK) in multi-path channels. The transient behaviors of symbol-rate adaptive receivers for DS-CDMA,MC-CDMA andMC-DSCDMA systems in dispersive multi-path environment are studied. The input signal vector is modeled as a simple stochastic model to simplify the analyses of convergence the least mean square (LMS) and normalized least mean square (NLMS) adaptive receivers. The receiver utilizes the derived optimal step-size sequence not only has faster convergent speed, but also smaller ensemble-averaged mean square error (MSE).
其他識別: U0005-2206201015433800
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