Abstract
This letter presents a modified method of the exponentially weighted recursive least-squares (WRLS) estimation using sliding window. In the method, two windowing techniques are simultaneously used to ensure that the estimator has good parameter tracking property and that the estimated parameters converge the true parameters. Simulation shows that the proposed method tracks rapidly time-varying parameters more effectively than WRLS.

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