Frequency-selective Fading Channel Estimation with a Polynomial Time-varying Channel Model
A rectangular-windowed least-squares estimator using a polynomial model of the time-varying channel taps is proposed for estimating the impulse response of a frequency-selective fading channel. This method provides a significant improvement in mean square identification error (MSIE) over the conventional least mean squares (LMS) and the exponentially weighted recursive least squares (EW-RLS) algorithms without a polynomial model. A detailed study of the effects of channel parameters, such as...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Communications|
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