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Study on Support Vector Machine and Its Application in MIMO-CDMA System Multiuser Detection

Author: GaoPengFei
Tutor: XiaKeWen
School: Hebei University of Technology
Course: Communication and Information System
Keywords: Support Vector Machine (SVM) Kernel function The related vector machine (RVM) Quantum particle swarm optimization (QPSO) Hyper parameters MIMO-CDMA multi-user detection
CLC: TN929.533
Type: Master's thesis
Year: 2011
Downloads: 25
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Abstract


Support Vector Machine is a learning method based on the basis of the statistical theory , it has better nonlinear processing and generalization ability , and has better global convergence than the general learning machine . Support vector machines can well solve multiuser detection problem of MIMO-CDMA system . In this thesis, first of all solve support vector machine principle of derivation process of critical issues , such as duality theory , convex planning as well as kernel function , and then the focus of research support vector machine 's improved algorithms , in particular, support vector machines latest branch - related vector machine , and finally research support vector machine detection of multi-user MIMO-CDMA system . Made in this paper are as follows : ( 1 ) support vector machine and its improved algorithm . Many improved algorithm support vector machines , each with its own advantages and disadvantages , the basis of previous studies in support vector machines introduced quantum particle swarm algorithm to solve quadratic programming problems . In addition, the principle of derivation of support vector regression machine is not very unified, this paper presents new ideas , and reasonable given the derivation of simple and easy-to-understand . ( 2 ) the relevance vector machine . Relevance vector machine proposed short time , a lot of aspects to be further improved , especially the matrix inversion algorithm involves the iterative algorithm as well as ultra- parameters , which greatly limits the range of applications of relevance vector machine . The two in -depth study of generalized vector machine to do the work . (3) MIMO-CDMA multi-user detection . The classic framework model based on the multi- user detection method , the relevance vector machine is introduced to the detection of the received signal , and to build multi-user detection system based on relevance vector machine . The contrast simulation show that this system has good characteristics in terms of anti-MAI , can achieve the detection effect .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications > Cellular mobile communications systems (mobile phones, mobile phone handsets ) > Code Division Multiple Access (CDMA) mobile communication
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