A Novel Technique For A Linear System Of Equations Applied To Channel Equalization
2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2(2009)
摘要
In many inverse problems of signal processing the problem reduces to a linear system of equations. Accurate and robust estimation of the solution with errors in both measurement vector and coefficient matrix is a challenging task. In this paper a novel formulation is proposed which takes into account the structure (e.g. Toeplitz, Hankel) and uncertainties of the system. A numerical algorithm is provided to obtain the solution. The proposed technique and other methods are compared it? a channel equalization example which is a fundamental necessity in communication.
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关键词
probability density function,inverse problem,linear systems,mimo,model driven engineering,inverse problems,radar,linear system of equations,vectors,robust estimator,coefficient matrix,robustness,channel equalization,signal processing,data mining
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