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dc.contributorMulti-disciplinary Studiesen_US
dc.contributorDepartment of Electronic Engineeringen_US
dc.creatorChan, Cheuk-lam-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/3760-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleEvaluation of three algorithms used in blind equalizationen_US
dcterms.abstractMost of the adaptive equalization methods require the initial training sequence. But in some cases, it is not possible to use the training sequence. As blind equalization schemes do not require the training sequence, blind equalizer can be used to achieve this goal. There are several types of blind equalization methods. However, the basic blind equalization method is the Constant Modulus Algorithm (CMA). Based on the Constant Modulus Algorithm, it is possible to develop other algorithms that can achieve better performance by increasing the system complexity. Three blind equalization algorithms - Least Mean Square Constant Modulus Algorithm (LMS-CMA), Fast Quasi-Newton Constant Modulus Algorithm (FQN-CMA), Conjugated Gradient Constant Modulus Algorithm (CG-CMA) - are studied. The relationship between the parameters and the performance are investigated. The FQN-CMA gives the shortest adaptation time and the fastest initial convergence rate. The LMS-CMA gives the longest adaptation time and slowest initial convergence rate while the CG-CMA gives the best compromise amongst these three algorithms. A Modified Conjugated Gradient Constant Modulus Algorithm (MCG-CMA) is the enhancement algorithm of the CG-CMA. The MCG-CMA can achieve similar performance as the CG-CMA with reducing the computational power. The study of optimum value of step size is suggested for further study for the MCG-CMA.en_US
dcterms.extentx, 105 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued1998en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHEqualizers (Electronics)en_US
dcterms.LCSHAlgorithmsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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