Delayless Block Individual-Weighting-Factors Sign Subband Adaptive Filters With an Improved Band-Dependent Variable Step-Size

Jung-Hee Kim,Joon-Hyuk Chang,Sang Won Nam,Jeong-Hwan Choi

doi:10.1109/access.2020.3029269

Jung-Hee Kim, Joon-Hyuk Chang + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.3029269

Copy DOI

Abstract

Delayless individual-weighting-factors sign subband adaptive filter (IWF-SSAF) algorithms with a band-dependent variable step-size (BDVSS) were recently introduced to achieve a robust convergence performance against the impulsive interference and to avoid an undesirable signal path delay in subband systems. In this paper, we develop a block implementation of the delayless IWF-SSAF algorithm designed for an active impulsive noise control (AINC) system. With the block-processing approach, the proposed delayless block IWF-SSAF algorithm can be implemented more efficiently than the original delayless algorithm regardless of number of subbands, which is verified through the computational analysis. Furthermore, an improved BDVSS version (I-BDVSS) is also proposed by using the multiple auxiliary past gradients, which are given for each band by the block-processing. Finally, the simulation results illustrate that the proposed delayless block IWF-SSAF algorithm with the I-BDVSS, even requiring less computational burden, can achieve a better convergence performance than the original delayless algorithm with the BDVSS under severe impulsive noise control environment.

Highlights

Adaptive filter (AF) algorithms have been utilized in numerous applications such as system identification, signal prediction, and array processing [1]–[8]
By associating the robust IWF-sign SAF (SSAF) [18] with the delayless normalized SAF (NSAF) structures [21], the delayless IWF-SSAF algorithms [22] were presented to overcome both aforementioned difficulties and their efficacy was verified in several impulsive interference environments including active impulsive noise control (AINC) applications
We develop a block implementation of the delayless closed-loop IWF-SSAF algorithm [22], designed for the AINC systems

Summary

INTRODUCTION

Adaptive filter (AF) algorithms have been utilized in numerous applications such as system identification, signal prediction, and array processing [1]–[8]. As an attractive approach to addressing both issues, a novel SAF algorithm, called a normalized SAF (NSAF), was introduced by employing subband input signals without decimation into fullband weight update to alleviate the aliasing effect and by using a critically sampled structure to mitigate the band-edge effect [9]–[11]. By associating the robust IWF-SSAF [18] with the delayless NSAF structures [21], the delayless IWF-SSAF algorithms [22] were presented to overcome both aforementioned difficulties and their efficacy was verified in several impulsive interference environments including active impulsive noise control (AINC) applications. We develop a block implementation of the delayless closed-loop IWF-SSAF algorithm [22], designed for the AINC systems.

RELATED WORK

EXPERIMENTS

CONCLUSION