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208 REFERENCES [ManOl] [Mar73] [Mar05] [Mas88] [Maz91] [Mce98] [Mcg97] [Mcg98] [Mey94] [Mey06] [Mil95] [MilOl] [MU88] [Mod86] [Moh98] A. Mantravadi and V. V. Veeravalli, "On chip-matched filtering and discrete sufficient statistics for asynchronous band-limited CDMA systems," IEEE Trans. Commun., vol. 49, pp. 1457-1467, Aug. 2001. J. W. Mark and P. S. Budihardjo, "Performance of jointly optimized prefilter — equalizer receivers," IEEE Trans. Commun., vol. 21, pp. 941-945, Aug. 1973. R. K. Martin and C. R. Johnson, Jr., "Adaptive equalization: transitioning from single-carrier to multicarrier systems," IEEE Sig. Proc. Mag., vol. 22, no. 6, pp. 108-122, Nov. 2005. T. Masamura, "Spread spectrum multiple access system with intrasystem interference cancellation," Trans. IECE, vol. E71, no. 3, p. 223-231, Mar. 1988. J. E. Mazo, "Exact matched filter bound for two-beam Rayleigh fading," IEEE Trans. Commun., vol. 39, pp. 1027-1033, July 1991. R. J. McEliece, D. J. C. MacKay, and J.-F. Cheng, "Turbo decoding as an instance of Pearl's 'Belief propagation' algorithm," IEEE J. Sel. Areas Commun., vol. 16, pp. 140-152, Feb. 1998. N. C. McGinty and R. A. Kennedy, "Reduced-state sequence estimator with reverse-time structure," IEEE Trans. Commun., vol. 45, pp. 265-268, Mar. 1997. N. C. McMGinty, R. A. Kennedy, and P. Hoeher, "Parallel trellis Viterbi algorithm for sparse channels," IEEE Commun. Letters, vol. 2, pp. 143-145, May 1998. H. Meyr, M. Oerder, and A. Polydoros, "On sampling rate, analog prefiltering, and sufficient statistics for digital receivers," IEEE Trans. Commun., vol. 42, pp. 3208-3214, Dec. 1994. R. Meyer, W. H. Gerstacker, R. Schober and J. B. Huber, "A single antenna interference cancellation algorithm for increased GSM capacity," IEEE Trans. Wireless Commun., vol. 5, no. 7, pp. 1616-1621, July 2006. S. Y. Miller and S. C. Schwartz, "Integrated spatial-temporal detectors for asynchronous Gaussian multiple access channels," IEEE Trans. Commun., vol. 43, pp. 396-411, Feb./Mar./Apr. 1995. C. L. Miller, D. P. Taylor, and P. T. Gough, "Estimation of co-channel signals with linear complexity," IEEE Trans. Commun., vol. 49, pp. 1997-2005, Nov. 2001. L. B. Milstein, "Interference rejection techniques in spread spectrum communications," Proc. IEEE, vol. 76, pp. 657-671, June 1988. J. W. Modestino and V. M. Eyuboglu, "Integrated multielement receiver structures for spatially distributed interference channels," IEEE Trans. Inform. Theory, vol. 32, pp. 195-219, Mar. 1986. M. Moher, "An iterative multiuser decoder for near-capacity communications," IEEE Trans. Commun., vol. 46, pp. 870-880, July 1998. [Mol03] A. F. Molisch, M. Z. Win, and J. H. Winters, "Reduced-complexity transmit/receive-diversity systems," IEEE Trans. Sig. Proc, vol. 51, pp. 2729- 2738, Nov. 2003. [Mon94] [Mon71] A. M. Monk, M. Davis, L. B. Milstein, and C. W. Helstrom, "A noise-whitening approach to multiple access noise rejection — part I: Theory and background," IEEE J. Sel. Areas Commun., vol. 12, pp. 817-827, June 1994. P. Monsen, "Feedback equalization for fading dispersive channels," IEEE Trans. Inform. Theory, vol. IT-17, pp. 56-64, Jan. 1971.
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Channel Equalization for Wireless C
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To my colleagues at Ericsson
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CONTENTS List of Figures List of Ta
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CONTENTS XI 4.2 4.3 4.4 4.5 4.6 4.1
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CONTENTS XIII 8 Practical Considera
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xvi LIST OF FIGURES 2.2 Matched fil
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XviÜ LIST OF FIGURES 6.18 Scatter
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XX Prologue Alice was nervous. Woul
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XXÜ PREFACE is introduced as neede
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ACRONYMS AC A/D ADC AMLD AMPS ASK A
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ML MLD MLPD MLSD MLSE MRC MSE MSB O
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2 INTRODUCTION Table 1.1 Possible m
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4 INTRODUCTION s o S 1 8 2 S 3 S 0
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6 INTRODUCTION A block diagram of t
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8 INTRODUCTION Figure 1.7 QPSK. tra
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10 INTRODUCTION phases (phase modul
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12 INTRODUCTION rollo« 0.22 0.8 Ί
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14 INTRODUCTION is the "channel" re
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16 INTRODUCTION 1.4 MORE MATH In th
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18 INTRODUCTION For K = 1 (order 0)
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20 INTRODUCTION The K = 4 main bloc
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22 INTRODUCTION A sample of the noi
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24 INTRODUCTION The receiver may ha
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26 INTRODUCTION 1.5.1 Reference sys
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28 INTRODUCTION a) What most likely
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CHAPTER 2 MATCHED FILTERING In this
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MORE DETAILS 33 2.2 MORE DETAILS So
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THE MATH 35 Now compare the output
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THE MATH 37 The correlation in (2.2
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THE MATH 39 correlation function f(
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THE MATH 41 Thus, in the complex pl
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THE MATH 43 to the medium response
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THE MATH 45 We can interpret f(t) a
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MORE MATH 47 10" 1 Odeg 90 deg X 18
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MORE MATH 49 With despread-level Ra
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MORE MATH 51 Figure 2.6 OFDM exampl
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MORE MATH 53 2.4.3 MF in colored no
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PROBLEMS 55 period) is examined in
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CHAPTER 3 ZERO-FORCING DECISION FEE
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MORE DETAILS 59 1/c r m —► H i
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MORE DETAILS 61 where «i = m - (d/
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MORE MATH 63 Because there is no IS
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MORE MATH 65 In the later chapter o
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PROBLEMS 67 b) What is the detected
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CHAPTER 4 LINEAR EQUALIZATION With
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THE IDEA 71 estimate of symbol s 2
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THE IDEA 73 Notice that £2 (MSE) d
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MORE DETAILS 75 The first term is t
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MORE DETAILS 77 To obtain the unity
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THE MATH 79 and SINR becomes w T h
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THE MATH 81 To obtain the MMSE solu
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THE MATH 83 where *m n = ν ^ ^ ^ '
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THE MATH 85 power is much larger th
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MORE MATH 87 IQ' 1 OC 111 ω 10 2 1
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MORE MATH 89 values of h k m (f) fr
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MORE MATH 91 where C(d(),d 0 ) . C(
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AN EXAMPLE 93 between z and s. This
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PROBLEMS 95 Another aspect of cocha
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PROBLEMS 97 The math 4.11 Consider
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100 MMSE AND ML DECISION FEEDBACK E
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CHAPTER 6 MAXIMUM LIKELIHOOD SEQUEN
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MORE DETAILS 117 r 2 Ht, r, fcl + f
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MORE DETAILS 119 Figure 6.3 MLSD tr
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THE MATH 121 legs of the journey is
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THE MATH 123 Figure 6.8 MLSD trelli
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THE MATH 125 We would then identify
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THE MATH 127 Expanding the square,
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THE MATH 129 Consider the matched f
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THE MATH 131 6.3.5.1 M-algorithm Wi
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THE MATH 133 results, DFE and MLSD
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THE MATH 135 IQ" 1 oc LU CD 10 2 10
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THE MATH 137 sometimes inaccurate w
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MORE MATH 139 POWER CONTROL effecti
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MORE MATH 141 15 POWER CONTROL 10
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MORE MATH 143 6.4.3 More approximat
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THE LITERATURE 145 EDGE is an evolu
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PROBLEMS 147 the channel to minimum
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PROBLEMS 149 c) Suppose we know «o
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152 ADVANCED TOPICS detecting the w
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154 ADVANCED TOPICS Table 7.2 Examp
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156 ADVANCED TOPICS Let's look at t
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Page 184 and 185: 162 ADVANCED TOPICS If we assume no
Page 186 and 187: 164 ADVANCED TOPICS Now we can focu
Page 188 and 189: 166 ADVANCED TOPICS Notice we used
Page 190 and 191: 168 ADVANCED TOPICS to achieve spat
Page 192 and 193: 170 ADVANCED TOPICS c) What are the
Page 195 and 196: CHAPTER 8 PRACTICAL CONSIDERATIONS
Page 197 and 198: MORE DETAILS 175 8.2 MORE DETAILS I
Page 199 and 200: MORE DETAILS 177 One extreme is to
Page 201 and 202: THE MATH 179 8.3.1 Time-invariant c
Page 203 and 204: THE MATH 181 With recursive channel
Page 205 and 206: MORE PRACTICAL ASPECTS 183 timing).
Page 207 and 208: THE LITERATURE 185 8.6 THE LITERATU
Page 209 and 210: PROBLEMS 187 a) Draw the new receiv
Page 211 and 212: APPENDIX A SIMULATION NOTES Perform
Page 213 and 214: FADING CHANNELS 191 where JA = A 2
Page 215 and 216: APPENDIX B NOTATION Channel Equaliz
Page 217: NOTATION 195 Variable Meaning p(t)
Page 220 and 221: 198 REFERENCES [Ari98] [Ari99] [Ari
Page 222 and 223: 200 REFERENCES [Bra91] W. R. Braun
Page 224 and 225: 202 REFERENCES [Div98] [Dou95] [Due
Page 226 and 227: 204 REFERENCES [Gon68] R. A. Gonsal
Page 228 and 229: 206 REFERENCES [Kaa94] [Kai60] V.-P
Page 232 and 233: 210 REFERENCES [Pic95] [P0088] [Pri
Page 234 and 235: 212 REFERENCES [Sto93] [Sto96] [Sui
Page 236 and 237: 214 REFERENCES [Wan06a] T. Wang, J.
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