Abstract
The author considers the problem of blind estimation and equalization of digital communication FIR (finite impulse response) channels using fractionally spaced samples. The problem is cast in a mathematical framework of parameter estimation for a vector stationary process with a single input (information sequence) and multiple outputs, by using a time-series representation of a cyclostationary process. The channel parameters are estimated by nonlinear batch optimization of a quadratic cumulant matching criterion involving second and fourth order cumulants of the received data. A new algorithm is proposed for (asymptotically) globally convergent, linear estimation of the FIR channel parameters where the FIR model order is not necessarily known. A simulation example using QAM (quadrature amplitude modulation) signals is presented. >
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