Reduced complexity widely-linear adaptive forgetting-factor inverse square-root RLS algorithm

Sitjongsataporn, Suchada; Wiangtong, Theerayod

doi:10.1109/ECTICon.2018.08619968

Reduced complexity widely-linear adaptive forgetting-factor inverse square-root RLS algorithm

Author(s)

Sitjongsataporn, Suchada

Wiangtong, Theerayod

Date Issued

July 2, 2018

Type

Conference Paper

DOI

10.1109/ECTICon.2018.08619968

Abstract

A reduced complexity inverse square-root recursive least squares algorithm based on widely-linear mechanism is introduced by adaptive forgetting-factor algorithm. The proposed reduced complexity widely-linear approaches based on inverse square-root recursive least squares algorithm is presented for a relation between widely-linear and reduced complexity scheme. By means of mean square deviation approach, an optimal forgetting-factor scheme is proposed in terms of optimal gain sequence. Adaptive forgetting-factor inverse square-root recursive least squares algorithm is used with regard to an optimal forgetting-factor algorithm. Results of simulation depict that the performance of proposed algorithm is shown similar to widely-linear scheme comparison with the existing algorithm.

Citation

Ecti Con 2018 15th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 130-133, 2018