File:Kalman filtering approach to blind equalization (IA kalmfilteringppr1094539708).pdf
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Summary[edit]
Kalman filtering approach to blind equalization ( ) | |
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Author |
Kutlu, Mehmet |
Title |
Kalman filtering approach to blind equalization |
Publisher |
Monterey, California. Naval Postgraduate School |
Description |
Digital communication systems suffer from the channel distortion problem which introduces errors due to intersymbol interference. The solution to this problem is provided by equalizers which use a training sequence to adapt to the channel. However in many cases in which a training sequence is unfeasible, the channel must be adapted blindly. Most of the blind equalization algorithms known so far have problems of convergence to local minima. Our intention is to offer an alternative approach by using extended Kalman filtering and hidden Markov models. They seem to yield more efficient algorithms which take the statistics of the transmitted sequence into consideration. The theoretical development of these new algorithms is discussed in this thesis. Also these algorithms have been simulated under different conditions. The results of simulations and comparisons with existing systems are provided. The models for simulations are presented as MATLAB codes. Subjects: Communications; Digital signal processing; Equaliztion; Kalman filters; Markov models |
Language | English |
Publication date |
December 1993 publication_date QS:P577,+1993-12-00T00:00:00Z/10 |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
Accession number |
kalmfilteringppr1094539708 |
Source | |
Permission (Reusing this file) |
Copyright is reserved by the copyright owner |
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Public domainPublic domainfalsefalse |
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Short title | Kalman filtering approach to blind equalization |
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Author | Kutlu, Mehmet |
Software used | Kutlu, Mehmet |
Conversion program | |
Encrypted | no |
Page size |
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Version of PDF format | 1.4 |