Abstract
A channel in a wireless communication link is often treated as time invariant over an estimation interval, during which a least squares estimate of the channel is calculated, using training symbols. By a second order Taylor expansion of the channel, the estimation error due to time variation, can be approximated as a bias and an excess error which are due to the curvature and linear change of the channel, respectively. Approximate expressions for the variance of the estimation error in a Rayleigh fading channel, are presented here.

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