Low-complexity data-reuse RLS algorithm with increased robustness features

Ionuț-Dorinel Fîciu; Cristian-Lucian Stanciu; Camelia Elisei-Iliescu; Cristian Anghel; Constantin Paleologu; Jacob Benesty

doi:10.1117/12.2643172

2 March 2023 Low-complexity data-reuse RLS algorithm with increased robustness features

Ionuț-Dorinel Fîciu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Cristian Anghel, Constantin Paleologu, Jacob Benesty

Author Affiliations +

Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 124931V (2023) https://doi.org/10.1117/12.2643172
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania

Abstract

Recent advancements in the field of adaptive filters based on the least-squares minimization criterion propose a stable and efficient recursive least-squares (RLS) algorithm with attractive numerical properties and performance similar to the classical RLS methods. The combination between the RLS and the dichotomous coordinate descent (DCD) iterations (i.e., the RLS-DCD) offers an attractive option for practical applications with low requirements in terms of chip area. This paper employs a data-reuse methodology to further improve the tracking speed of the RLS-DCD algorithm. Furthermore, a regularization principle is used to develop its robustness features in low signal-to-noise working conditions.

Citation Download Citation

Ionuț-Dorinel Fîciu, Cristian-Lucian Stanciu, Camelia Elisei-Iliescu, Cristian Anghel, Constantin Paleologu, and Jacob Benesty "Low-complexity data-reuse RLS algorithm with increased robustness features", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 124931V (2 March 2023); https://doi.org/10.1117/12.2643172

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