Search for dissertations about: "nlls"

Found 3 swedish dissertations containing the word nlls.

  2. 1. Radio Channel Prediction Based on Parametric Modeling

    Author : Ming Chen; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wireless communications; channel prediction; GLRT; CRLB; NLLS; polynomial phase signal; Kalman filter; NILS.; sinusoidal modeling; channel modeling; MIMO;

    Abstract : Long range channel prediction is a crucial technology for future wireless communications. The prediction of Rayleigh fading channels is studied in the frame of parametric modeling in this thesis.Suggested by the Jakes model for Rayleigh fading channels,deterministic sinusoidal models were adopted for long rangechannel prediction in early works. READ MORE

  4. 2. A covariance structure analysis approach to the errors-in-variables estimation problem

    Author : David Kreiberg; Fan Yang-Wallentin; Håkan Hjalmarsson; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; System identification; errors-in-variables models; structural equation modeling; confirmatory factor analysis; minimum distance estimator; separable nonlinear least squares; Statistics; Statistik;

    Abstract : It is a well-known fact that standard regression techniques, when applied to errors-in-variables (EIV) models, lead to biased and inconsistent parameter estimation. The work presented in this thesis address the EIV estimation problem using covariance structure analysis (CSA). READ MORE

  5. 3. The Non-Linear Instantaneous Least Squares Approach to Signal Parameter Estimation

    Author : Jakob Ängeby; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; aliasing; polynomial-phase signals; synthetic aperture radar auto-focusing; non-linear least squares; time-frequency estimation; estimation theory; non-stationary processes; non-uniform sampling;

    Abstract : Estimation of parameters of non-stationary signals observed in noise is a challenging and difficult task, motivated by applications such as radar and mobile tele-communication. Here, a novel method for signal parameter estimation named the Non-linear Instantaneous Least Squares (NILS) approach is presented, which can be applied to linear and non-linear signals, and to both uniformly and non-uniformly sampled data. READ MORE