Channel Equalization for Wireless Communications From Concepts to Detailed Mathematics

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ISBN: 9780470874271 | 0470874279
Cover: Hardcover
Copyright: 7/12/2011

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In the past, channel equalization was addressed as a single chapter in a digital communications textbook for graduate students. The area has developed and increased so significantly that there is now a need for an entire textbook devoted to this subject. Filling this need for expanded coverage, Channel Equalization: From Concepts to Detailed Mathematics presents each channel equalization topic with incremental learning methodology, from the very fundamental concept to more advanced mathematical knowledge. Offering basic concepts to more complex modeling techniques, this textbook is suitable for both practicing wireless communication engineers and graduate students.

List of Figures	p. xv
List of Tables	p. xix
Preface	p. xxi
Acknowledgments	p. xxiii
Acronyms	p. xxv
Introduction	p. 1
The Idea	p. 2
More Details	p. 4
General dispersive and MIMO scenarios	p. 5
Use of complex numbers	p. 7
The Math	p. 7
Transmitter	p. 9
Channel	p. 11
Receiver	p. 15
More Math	p. 16
Transmitter	p. 16
Channel	p. 21
Receiver	p. 23
An Example	p. 24
Reference system and channel models	p. 26
The Literature	p. 26
Problems	p. 27
Matched Filtering	p. 31
The Idea	p. 31
More Details	p. 33
General dispersive scenario	p. 34
MIMO scenario	p. 35
The Math	p. 35
Maximum-likelihood detection	p. 35
Output SNR and error rate performance	p. 37
TDM	p. 38
Maximum SNR	p. 38
Partial MF	p. 41
Fractionally spaced MF	p. 42
Whitened MF	p. 43
The matched filter bound (MFB)	p. 44
MF in colored noise	p. 44
Performance results	p. 45
More Math	p. 47
Partial MF	p. 49
The matched filter bound	p. 52
MF in colored noise	p. 53
Group matched filtering	p. 53
An Example	p. 54
The Literature	p. 54
Problems	p. 55
Zero-Forcing Decision Feedback Equalization	p. 57
The Idea	p. 57
More Details	p. 59
The Math	p. 62
Performance results	p. 63
More Math	p. 63
Dispersive scenario and TDM	p. 64
MIMO/cochannel scenario	p. 65
An Example	p. 66
The Literature	p. 66
Problems	p. 66
Linear Equalization	p. 69
The Idea	p. 69
Minimum mean-square error	p. 72
More Details	p. 74
Minimum mean-square error solution	p. 74
Maximum SINR solution	p. 75
General dispersive scenario	p. 76
General MTMO scenario	p. 79
The Math	p. 79
MMSE solution	p. 8O
ML solution	p. 82
Output SINR	p. 83
Other design criteria	p. 85
Fractionally spaced linear equalization	p. 85
Performance results	p. 86
More Math	p. 86
ZF solution	p. 87
MMSE solution	p. 87
ML solution	p. 89
Other forms for the CDM case	p. 89
Other forms for the OFDM case	p. 91
Simpler models	p. 91
Block and sub-block forms	p. 92
Group linear equalization	p. 93
An Example	p. 93
The Literature	p. 94
Problems	p. 95
MMSE and ML Decision Feedback Equalization	p. 99
The Idea	p. 99
More Details	p. 101
The Math	p. 104
MMSE solution	p. 104
ML solution	p. 106
Output SINR	p. 106
Fractionally spaced DFE	p. 106
Performance results	p. 106
More Math	p. 108
MMSE solution	p. 108
ML solution	p. 109
Simpler models	p. 109
Block and sub-block forms	p. 109
Group decision feedback equalization	p. 110
An Example	p. 110
The Literature	p. 110
Problems	p. 112
Maximum Likelihood Sequence Detection	p. 115
The Idea	p. 115
More Details	p. 117
The Math	p. 120
The Viterbi algorithm	p. 120
SISO TDM scenario	p. 125
Given statistics	p. 130
Fractionally spaced MLSD	p. 130
Approximate forms	p. 130
Performance results	p. 131
More Math	p. 138
Block form	p. 142
Sphere decoding	p. 142
More approximate forms	p. 143
An Example	p. 144
The Literature	p. 145
Problems	p. 147
Advanced Topics	p. 151
The Idea	p. 151
MAP symbol detection	p. 151
Soft information	p. 153
Joint demodulation and decoding	p. 155
More Details	p. 156
MAP symbol detection	p. 156
Soft information	p. 157
Joint demodulation and decoding	p. 160
The Math	p. 160
MAP symbol detection	p. 160
Soft information	p. 166
Joint demodulation and decoding	p. 167
More Math	p. 167
An Example	p. 167
The Literature	p. 168
MAp symbol detection	p. 168
Soft information	p. 168
Joint demodulation and decoding	p. 169
Problems	p. 169
Practical Considerations	p. 173
The Idea	p. 173
More Details	p. 175
Parameter estimation	p. 175
Equalizer selection	p. 176
Radio aspects	p. 177
The Math	p. 178
Time-invariant channel and training seqence	p. 179
Time-varying channel and known symbol sequence	p. 180
Time-varying channel and Partially known symbol sequence	p. 181
Per-survivor processing	p. 182
More practical aspects	p. 182
Acquisition	p. 182
Timing	p. 182
Doppler	p. 183
Channel Delay Estimation	p. 183
Pilot symbol and traffic symbol powers	p. 184
Pilot symbols and multi-antenna transmission	p. 184
An Example	p. 184
The Literature	p. 185
Problems	p. 185
Simulation Notes	p. 189
Fading channels	p. 191
Matched filter and matched filter bound	p. 192
Simulation calibration	p. 192
Notation	p. 193
References	p. 197
Index	p. 217
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Channel Equalization for Wireless Communications From Concepts to Detailed Mathematics

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Channel Equalization for Wireless Communications From Concepts to Detailed Mathematics

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