A variable tap-length DILMS algorithm with variable parameters for wireless sensor networks
by Ghanbar Azarnia; Mostafa Hassanlou
International Journal of Sensor Networks (IJSNET), Vol. 36, No. 2, 2021

Abstract: In most applications, the estimation of the filter length, along with the adoption of the filter coefficients, is an exact requirement. Accordingly, followed the stand-alone adaptive filters, the variable tap-length adaptive estimation has recently been considered in wireless sensor networks (WSNs). Among these, the fractional tap-length (FT) distributed incremental least mean square (DILMS) algorithm is of particular interest due to its superior performance. However, the main drawback of this method is that its performance, especially under high noise conditions, depends on the suitable selection of the length adaption parameters. On this basis, in this paper, a variable tap-length algorithm with variable parameters is proposed where the parameters of the FT algorithm is adapted according to the error correlation. Such an adaptation will lead to good performance, even under high noise conditions. The performed simulations also confirm such improved performance.

Online publication date: Mon, 05-Jul-2021

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