Baştuğ, Ahmet (2006) Développement de récepteurs avancés pour les systèmes de communication mobile de type WCDMA et HSDPA. PhD thesis Mobile Communication, ENST - COMELEC Communication et Electronique, ENST.

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Abstract

Dans la première partie de la thèse, on considère des méthodes d'estimation des canaux utilisateurs dédiés en liaison descendante. Ces méthodes sont particulièrement avantageuses dans un contexte de transmission à formation de faisceaux. Elles ne supposent aucune connaissance a priori des retards des signaux reçus ainsi que les paramètres de formation des faisceaux; exploitent la totalité des séquences pilotes transmises ainsi que la dynamique structurée du canal.Dans la seconde partie, on commence par considérer un schéma d'égalisation au niveau chip et dite HDD-NLMS. Ce schéma utilise l'estimation de la précédente séquence chip comme réponse cible pour l'adaptation de l'égaliseur. Dans la suite propose les égalisateurs niveau symbole HSDPA N-Griffith et HDD-NLMS qui permettent une vitesse d'adaptation 16 fois plus élevée que dans le cas de l'utilisation des symboles PCPICH. Les solutions spécifiques HSDPA ont une complexité raisonnable et offrent des performances proches aux Max-SINR dans un environnement réel.Dans la dernière partie, nous évaluons l'avantage des égalisateurs au niveau chip par rapport au récepteur Rake conventionnel ainsi que l'avantage d'une décision hard par rapport à l'utilisation d'une contre réaction linéaire dans le contexte d'un récepteur avec élimination itérative parallèle des interférences. Cette contre réaction sera déduite d'un développement polynomial de l'inverse de la matrice de covariance en amont du premier étage d'égalisation. Etant donné que les égalisateurs à chaque étage sont différents, nous utilisons les résultats d'analyse des étages précédents afin de pouvoir estimer les paramètres de l'égalisateur à un étage donné.

References

[1] A Brief History of Communications. IEEE History Center at Rutgers University,
IEEE Communications Society, 2002.
[2] B. Widrow and M. Ho®, \Adaptive switching circuits," IRE WESCON Conv. Rec., vol. 4, pp. 96{104, 1960.
[3] R. Lucky, \Techniques for adaptive equalization of digital communication systems,"
Bell Sys. Tech, Journal, vol. 45, pp. 255{286, February 1966.
[4] S. Verd¶u, \Minimum probability of error for asynchronous Gaussian multiple access channels," IEEE Transactions on Information Theory, vol. IT-32, pp. 85{96, January
1986.[5] K. Berkel, F. Heinle, P. Meuwissen, K. Moerman, and M. Weiss, \Vector processing as an enabler for software-de¯ned radio in handheld devices," EURASIP Journal on
Applied Signal Processing, vol. 16, pp. 2613{2625, 2005.
[6] ||, \Vector processing as an enabler for software-de¯ned radio in handsets from
3 G+WLAN onwards," in Software De¯ned Radio Technical Conference and Product
Exposition, Phoenix, Arizona, November 2004.
[7] \QoS concept and architecture," 3GPP, [Online]. Available: http://www.3gpp.org/ftp/Specs, Tech. Rep. TS 23.107.
[8] \User equipment (UE) radio transmission and reception (FDD)," 3GPP, [Online].
Available: http://www.3gpp.org/ftp/Specs, Tech. Rep. TS 25.101.
[9] \Physical layer procedures (FDD)," 3GPP, [Online]. Available: http://www.3gpp.org/ftp/Specs, Tech. Rep. TS 25.214.
[10] J. F. Kurose and K. W. Rose, Computer Networking: A top down approach featuring the Internet. Addison-Wesley, 2003.
[11] W. Stallings, Data and Computer Communications, Seventh Edition, 7th ed. Prentice
Hall, May 2003.
[12] \Physical layer aspects of HSDPA," 3GPP, [Online].
Available: http://www.3gpp.org/ftp/Specs, Tech. Rep. TS 25.848.
[13] \UTRA high speed downlink packet access; overall UTRAN description," 3GPP, [Online]. Available: http://www.3gpp.org/ftp/Specs, Tech. Rep. TS25.855.
[14] H. Holma and A. Toskala, WCDMA for UMTS. John Wiley and Sons, 2000.
[15] P. Frenger, S. Parkvall, and E. Dahlman, \The evolution of WCDMA towards higher speed downlink packet data access," in Proc. of the Vehicular Technology Conf., October 2001.
[16] M. Lenardi and D. T. M. Slock, \SINR maximizing equalizer receiver for DS-CDMA," in Proc. of the EUSIPCO Conf., Tampere, Finland, September 2000.
[17] ||, \A RAKE structured SINR maximizing mobile receiver for the WCDMA downlink," in Proc. of the Asilomar Conf. on Signals, Systems and Computers, Paci¯c
Grove, California, USA, November 2001.
[18] J. G. Proakis, Digital Communications, 3rd ed. NY: McGraw-Hill, 1995.
[19] T. S. Rappaport, Wireless Communications - Principles and Practice. Upper Saddle
River, NJ: Prentice Hall, 1996.
[20] C. Cozzo, G. E. Bottomley, and A. S. Khayrallah, \Rake receiver ¯nger placement for realistic channels," in Proc. of the Wireless Communications and Networking Conference, 2004, pp. 316{321.
[21] D. Tse and P. Viswanath, Fundamentals of Wireless Communication. Cambridge
University Press, May 2005.
[22] R. Lupas and S. Verd¶u, \Linear multiuser detectors for synchronous code-division multiple-access channels," IEEE Transactions on Information Theory, vol. IT-35, pp.
123 {136, January 1989.
[23] S. Verd¶u, Multiuser Detection. Cambridge University Press, 1998.
[24] M. Varanasi and B. Aazhang, \Multistage detection in asynchronous code-division multiple-access communications," IEEE Transactions on Communications Theory, vol. 38, pp. 509{519, Apr 1990.
[25] A. Duel-Hallen, \Decorrelating decision-feedback multiuser detector for synchronous code-division multiple-access channel," IEEE Transactions on Communications, vol. 41, no. 2, pp. 285{290, February 1993.
[26] G. Strang, Introduction to Linear Algebra, 3rd ed. Wellesley-Cambridge Press, June
1998.[27] H. P. Decell, \An application of the Cayley-Hamilton theorem to generalized matrix inversion," Jr. SIAM Review, vol. 7, No.4, pp. 526{528, October 1965.
[28] S. Moshavi, E. Kanterakis, and D. L. Schilling, \Multistage linear receivers for DSCDMA systems," International Journal of Wireless Information Networks, vol. 3,No.1,
1996.[29] R. R. Muller and S. Verd¶u, \Design and analysis of low complexity interference mitigation on vector channels," IEEE Journal on Selected Areas in Communications, vol. 19, no. 8, pp. 1429{1441, August 2001.
[30] K. Pedersen and P. Mogensen, \The downlink orthogonality factors in°uence on
WCDMA system performance," in Proc. of the Vehicular Technology Conf., September
2002.[31] N. Mehta, L. Greenstein, T. Willis, and Z. Kostic, \Analysis and results for the orthogonality factor in WCDMA downlinks," in Proc. of the Vehicular Technology Conf.,
May 2002.
[32] K. Zayana and B. Guisnet, \Measurements and modelisation of shadowing crosscorrelations between two base stations," in Proc. of the ICUPC, Rome, Italy, October
1998.[33] L. Greenstein, Y. Yeh, V. Erceg, and M. V. Clark, \A new path gain/delay-spread propagation model for digital cellular channels," IEEE Transactions on Vehicular Technology, vol. 46, no.2, May 1997.
[34] J. Sadowsky, D. Yellin, S. Moshavi, and Y. Perets, \Cancellation accuracy in CDMA pilot interference cancellation," in Proc. of the Vehicular Technology Conf., April 2003.
[35] C. F. Report, \Digital mobile radio towards future generation systems," COST Telecom
Secretariat, European Commission, Brussels, Belgium, Tech. Rep., 1999.
[36] J. Zhang, E. Chong, and D. Tse, \Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems," IEEE Transactions on Information Theory, vol. 47, no.3, March 2001.
[37] H. Poor and S. Verd¶u, \Probability of error in MMSE multiuser detection," IEEE
Transactions on Information Theory, vol. 43, no.3, May 1997.
[38] J. Sadowsky, D. Yellin, S. Moshavi, and Y. Perets, \Capacity gains from pilot cancellation in CDMA networks," in Proc. of the Wireless Communications and Networking
Conf., March 2003.
[39] \Technical speci¯cations," 3GPP, [Online]. Available: http://www.3gpp.org, Tech.
Rep.
[40] J. Bsltersee, G. Fock, P. Schultz-Rittich, and H. Meyr, \Performance analysis of phasor estimation algorithms for FDD-UMTS RAKE receiver," in IEEE 6th Symp. on Spread
Spectrum Technologies and Applications, September 2000.
[41] M. Lenardi and D. Slock, \Estimation of time-varying wireless channels and application to the UMTS WCDMA FDD downlink," in Proc. of the European Wireless Comm.
Tech. conf., Firenze, Italy, February 2002.
[42] M. Benthin and K. Kammayer, \In°uence of channel estimation on the performance of a coherent DS-CDMA system," IEEE Trans. on Vehic. Tech., vol. 46, no.2, pp.
262 {268, May 1997.
[43] M. Usada, Y. Ishikawa, and S. Onoe, \Optimizing the number of dedicated pilot symbols for forward link in WCDMA systems," in Proc. of the IEEE Vehic. Tech. Conf.,
Spring 2000.
[44] K. A. Qaraqe and S. Roe, \Channel estimation algorithms for third generation
WCDMA communication systems," in Proc. of the IEEE Vehic. Tech. Conf., Fall
2001.[45] G. Montalbano and D. Slock, \Joint common-dedicated pilots based estimation of timevarying channels for W-CDMA receivers," in Proc. of the IEEE Vehic. Tech. Conf.,
October 2003.
[46] B. Musicus, \Iterative algorithms for optimal signal reconstruction and parameter identi¯cation given noisy and incomplete data," Ph.D. dissertation, Mass. Inst. Tech.,
September 1982.
[47] R. Shumway and D. Sto®er, \An approach to time series smoothing and forecasting using the EM algorithm," J. Time Series Anal., vol. 3, no.4, pp. 253{264, 1982.
[48] E. Weinstein, A. Oppenheim, M. Feder, and J. Buck, \Iterative and sequential algorithms for multisensor signal enhancement," IEEE Trans. Signal Proc., vol. 42, no.4, pp. 846{859, April 1994.
[49] V. Digalakis, J. Rohlicek, and M. Ostendorf, \ML estimation of a stochastic linear system with the EM algorithm and its application to speech recognition," IEEE Trans.
Speech and Audio Proc., vol. 1, no.4, October 1993.
[50] W. Gao, S.Tsai, and J. Lehnert, \Diversity cobining for DS/SS systems with timevarying correlated fading branches," IEEE Trans. Communications, vol. 51, no.2,
February 2003.
[51] A. Dempster, N. Laird, and D. Rubin, \Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. B, vol. 39, no.1, pp. 1{38, 1977.
[52] M. Lenardi, A. Medles, and D. T. M. Slock, \A SINR maximizing RAKE receiver for DS-CDMA downlinks," in Proc. of the Asilomar Conf. on Signals, Systems and
Computers, Paci¯c Grove, California - USA, November 2000.
[53] L. Mailaender, \Low complexity implementation of CDMA downlink equalization," in
Proc. of the Int. Conf on 3G Mobile Communications Technologies, March 2001, pp.
396 {400.
[54] T. Krauss and M. Zoltowski, \Chip-level MMSE equalization at the edge of the cell," in Proc. of the Wireless Communications and Networking Conf., September 2000, pp.
386 { 392.
[55] W. Chen and U. Mitra, \An improved blind adaptive MMSE receiver for fast fading
DS-CDMA channels," in Proc. of the Globecom Conf., San Antonio, November 2001, pp. 758{762.
[56] F. Petre, M. Moonen, M. Engels, B. Gyselinckx, and H.D.Man, \Pilot-aided adaptive chip equalizer receiver for interference suppression in DS-CDMA forward link," in Proc.
of the Vehicular Technology Conf., Sept 2000, pp. 303{308.
[57] M. Hadef, S. Weiss, and M. Rupp, \Adaptive blind multiuser DS-CDMA," Electronics
Letters, vol. 41, pp. 1184{1186, October 2005.
[58] A. Margetts and P. Schniter, \Adaptive chip-rate equalization of downlink multirate wideband CDMA," IEEE Trans. on Signal Processing, vol. 53, no.6, June 2005.
[59] K. Hooli, M. Juntti, M. Heikkila, P. Komulainen, M. Latva-aho, and J. Lilleberg,
\Chip-level channel equalization in WCDMA downlink," Eurasip Journal on Applied
Signal Processing, no. no.8, pp. 757{770, August 2002.
[60] B. Hassibi, On the Robustness of LMS Filters, least-mean-square adaptive ¯lters ed.
John Wiley and Sons, 2003, ch. 4.
[61] O. Macchi, Adaptive Processing: The Least Mean Squares Approach with Applications in Transmission. John Wiley and Sons, 1995.
[62] B. Widrow and S. D. Stearns, Adaptive Signal Processing. Englewood Cli®s, NJ:
Prentice Hall, 1985.
[63] M. Heikkila, P.Komulainen, and J. Lilleberg, \Interference suppression in CDMA downlink through adaptive channel equalization," in Proc. of the Vehicular Technology
Conf., September 1999.
[64] Y. Sato, \A method of self-recovering equalization for multilevel amplitudemodulations systems," IEEE Trans. on Communications, pp. 679{682, June 1975.
[65] J. R. Treichler and B. G. Agee, \A new approach to multipath correction of constant modulus signals," IEEE Trans. Acoust. Speech and Signal Processing, vol. ASSP-31, pp. 459{472, April 1983.
[66] L. Litwin, M. Zoltowski, T. Endres, and S. Hulyalkar, \Blended CMA: smooth, adaptive transfer from CMA to DD-LMS," in Proc. of the Wireless Communications and
Networking Conference, New Orleans, LA-USA, September 1999.
[67] F. D. Castro, M. D. Castro, and D. Arantes, \Concurrent blind deconvolution for channel equalization," in Proc. of the IEEE International Conf. on Comm., Helsinki,
Finland, June 2001, pp. 366{371.
[68] S. Chen and E. Chng, \Concurrent constant modulus algorithm and soft decision directed scheme for fractionally-spaced blind equalization," in Proc. of the IEEE International Conf. on Comm., Paris-France, June 2004, pp. 2342 { 2346.
[69] C. Papadias and D. Slock, \On the decision-directed equalization of constant modulus signals," in Proc. of the Asilomar Conf. on Signals, Systems and Computers, Paci¯c
Grove, CA, November 1994, pp. 1423{1427.
[70] W. Jakes, Microwave Mobile Communications. New York, Wiley, 1974.
[71] V. Mathews and Z.Xie, \A stochastic gradient adaptive ¯lter with gradient adaptive step size," IEEE Trans. on Signal Processing, vol. 41, no.6, June 1993.
[72] C. D. Frank and E. Visotsky, \Adaptive interference suppression for direct-sequence
CDMA systems with long spreading codes," in Proc. of the Allerton Conference on
Communication, Control, and Computing, Urbana-Champaign, IL, September 1998.
[73] U. Madhow and M. Honig, \MMSE interference suppression for direct-sequence spreadspectrum CDMA," IEEE Trans. on Communications Theory, vol. 42, pp. 3178{3188,
December 1994.
[74] R. M. Buehrer, S. P. Nicoloso, and S. Gollamudi, \Linear versus nonlinear interference cancellation," Journal of Communications and Networks, vol. 1, June 1999.
[75] M. Madcour, S. Gupta, and Y. Wang, \Successive interference cancellation algorithms for downlink W-CDMA communications," IEEE Transactions on Wireless Communications, vol. 1, no. 1, January 2002.
[76] D. Divsalar, M. Simon, and D. Raphelli, \Improved parallel interference cancellation,"
IEEE Transactions on Communications Theory, vol. 46, pp. 258{268, February 1998.
[77] R. Irmer, A. Nahler, and G. Fettweis, \On the impact of soft decision functions on the performance of multistage parallel interference cancelers for CDMA systems," in Proc.
Vehicular Tech. Conf., Rhodes, Greece, May 2001.
[78] I. Ghauri and D. T. M. Slock, \MMSE-ZF receiver and blind adaptation for multirate
CDMA," in Proc. Vehicular Technology Conf., September 1999.
[79] C. Papadias and D. Slock, \Fractionally spaced equalization of linear polyphase channels and related blind techniques based on multichannel linear prediction," IEEE
Transactions on Signal Processing, vol. 47, no.3, March 1999.
[80] Y. P. Wang and G. E. Bottomley, \Generalized Rake reception for cancelling interference from multiple base stations," in Proc. Vehicular Tech. Conf., Boston, Massachusset - USA, September 2000.
[81] A. Grant and C. Schlegel, \Convergence of linear interference cancellation multiuser receivers," IEEE Transaction on Communications, vol. 49, no. 10, October 2001.
[82] L. K. Rasmussen and I. J. Oppermann, \Ping-pong e®ects in linear parallel interference cancellation for CDMA," IEEE Trans. on Wireless Comm., vol. 2, no. 2, pp. 357{363,
March 2003.
[83] E. de Carvalho and D. T. M. Slock, \Cr¶amer-Rao bounds for semi-blind, blind and training sequence based channel estimation," in Proc. 1st IEEE Conf. on Signal Processing Advances in Wireless Communications, Paris, France, April 1997, pp. 129{132.
[84] E. Aktas and U. Mitra, \Semiblind channel estimation for CDMA systems with parallel data and pilot signals," IEEE Trans. on Communications, vol. 52, no. 7, pp. 1102{1112,
July 2004.
[85] S. Douglas, \Adaptive ¯lters employing partial updates," IEEE Trans. Circuits and
Systems II, vol. 44, pp. 209{216, March 1997.
[86] C. Papadias, \Methods for blind equalization and identi¯cation of linear channels,"
Ph.D. dissertation, l'Ecole Nationale Superieure des Telecommunications, March 1995.
[87] H. Xu, Z. Li, and H. Zheng, \A non-data-aided SNR estimation algorithm for QAM signals," in Communications, Circuits and Systems Conf., June 2004, pp. 999 { 1003.
[88] T. Summers and S. Wilson, \SNR mismatch and online estimation in turbo decoding,"
IEEE Trans. On Communications, vol. 46,no.4, April 1998.
[89] P. Gao and C. Tepedelenlioglu, \SNR estimation for nonconstant modulus constellations," IEEE Transactions on Signal Processing, vol. 53, pp. 865 { 870, March 2005.
[90] T. Moon, \The expectation-maximization algorithm," IEEE Signal Processing Magazine, vol. 13, pp. 47{60, November 1996.
[91] J. Chaufray, W. Hachem, and P. Loubaton, \Asymptotic analysis of optimum and sub-optimum CDMA downlink MMSE receivers," IEEE Transactions on Information
Theory, vol. 50, no.11, pp. 2620{2638, November 2004.
[92] D. Marcuse, \Derivation of analytical expressions for the bit-error probability in lightwave systems with optical ampli¯ers," Journal of Lightwave Technology, vol. 8, no.12,
December 1990.

Table of content

Contents
List of Figures xi
List of Tables xv
1 Introduction 1
1.1 Organization of the Thesis - 2
1.2 Multi-access in the UMTS FDD Downlink - 3
1.3 UMTS Services - 5
1.4 HSDPA Features - 6
1.5 Downlink Transmission Model - 9
1.6 Downlink Channel Model - 12
1.6.1 Time-varying Multipath Propagation Channel - 12
1.6.2 Sources of Multichannels - 16
1.7 Rake Receiver and LMMSE Chip Equalizer - 17
1.8 State of the Art Multiuser Receivers - 23
1.8.1 Optimal Receiver - 23
1.8.2 Decorrelation Receiver - 24
1.8.3 LMMSE Receiver - 25
1.8.4 Linear Parallel Interference Cancellation Receiver - 25
2 Performance Analysis of Hsdpa Receiver Models 27
2.1 Introduction - 27
2.2 Hypothetical Receiver Models - 28
2.3 Parameter Modeling - 29
2.3.1 Modeling the Received Powers - 29
2.3.2 Modeling the Channel Parameters - 30
2.3.3 Modeling  - 31
2.4 Simulations and Conclusions - 31
I Channel Estimation 37
3 Pilot-Aided Channel Estimation 38
3.1 Introduction - 38
3.2 Channel Models - 41
3.3 LS Estimations of Common and Dedicated Channels - 42
3.4 Optimal Recursive Approach: Joint Kalman Filtering and Smoothing - 43
3.5 Suboptimal Scheme 1: EM-Kalman Procedure After ULMMSE Combining 45
3.5.1 Unbiased LMMSE Combining of LS Estimates - 45
3.5.2 Kalman Filtering of ULMMSE Combined Estimates - 47
3.6 Suboptimal Scheme 2: ULMMSE Combining After Two Separate EM-Kalman
Procedures - 47
3.7 Simulations and Conclusions - 47
II Chip Equalization 55
4 Chip Level Adaptive Equalization for HSDPA 56
4.1 Introduction - 56
4.2 Chip Level Adaptive Equalizers - 57
4.3 Decision Directed HSDPA Equalizer - 59
4.3.1 Misconvergence Problem - 62
4.4 Amplitude Estimation - 63
4.4.1 Amplitude Estimation for QPSK Symbols - 63
4.5 Simulations and Conclusions - 66
5 Adaptive Equalization by Group Despreading 79
5.1 Introduction - 79
5.2 DD-NLMS Equalizer by Group Despreading - 81
5.3 Simulations and Conclusions - 86
6 Symbol Level Adaptive Equalization for HSDPA 96
6.1 Introduction - 96
6.2 Gri±ths Equalization at HSDPA Symbol Level - 96
6.3 Decision Directed Equalization at HSDPA Symbol Level - 98
6.4 Extensions to Multiple Codes Usage - 99
6.5 Simulations and Conclusions - 100
III Multiuser Detection 110
7 Iterative Receivers with Chip Equalizers 111
7.1 Introduction - 111
7.2 Polynomial Expansion Receiver - 113
7.3 Filter Adaptation - 117
7.3.1 Impact of Symbol Feedback Nonlinearities on Filter Expressions - 120
7.4 Intercell Interference Cancellation - 121
7.5 Simulations and Conclusions - 123
8 Conclusions and Future Work 129
8.1 Embedded Vector Processor - 129
8.1.1 EVP Functional Units - 130
8.2 EVP Complexity of Equalizers - 131
8.3 Future Work - 132
A Stationarity Results for Oversampled Systems 135
B Fractionally-spaced Equalization of Polyphase Channels 136
C 16-QAM Amplitude Estimation 141
D Quanti¯cation of SINR Gains From Using Symbol Nonlinearities 144
D.1 Downlink Transmitter and Receiver Model - 144
D.2 SINR of LMMSE Equalizer-Correlator - 146
D.3 Combined Analysis with Nonlinearities - 146
D.4 Simulations and Conclusions - 149
E R¶esum¶e de thµese 151
E.1 Introduction - 151
E.2 Estimation de canal - 152
E.2.1 Premiµere ¶etape: estimation de canal \moindres carr¶es" - 154
E.2.2 Deuxiµeme ¶etape: combiner les strat¶egies (de ¯ltrage) - 155
E.2.3 Trois approches di®¶erentes au ¯ltrage de Kalman - 155
E.2.4 Combinaison non-biais¶ee LMMSE des estimations de canal LS - 156
E.2.5 Filtrage de Kalman - 157
E.2.6 Estimation des Paramµetres du Modµele de Filtre de Kalman - 157
E.2.7 Simulations et Conclusions - 158
E.3 Annulation des interf¶erences - 160
E.3.1 ¶Etat de l'art des r¶ecepteurs - 160
E.3.2 R¶ecepteur µa expansion polynomiale - 162
E.3.3 Simulations - 163
E.3.4 Conclusions - 165
E.4 Perspectives - 166
References 175

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