Augmented Set-membership Affine Projection Algorithm and Its Performance Analysis
Abstract
The augmented affine projection algorithm (AAPA) has considerably excellent performance for highly colored input signals. However, the direct matrix inversion operation leads to a high computational complexity, especially with high projection order. Inspired by the excellent characteristics of set-membership filtering (SMF), this paper proposes the augmented set-membership affine projection algorithm (ASM-APA), which not only has low computational complexity but also offers improved performance compared with AAPA. Then, the computational complexity and stability of ASM-APA are analyzed, and the condition for maintaining the stability of the algorithm is provided. Finally, in the computer simulation phase, the results of the simulation experiments demonstrated that ASM-APA has superior performance compared to AAPA.
Cite
@article{arxiv.2605.18432,
title = {Augmented Set-membership Affine Projection Algorithm and Its Performance Analysis},
author = {Xinnian Guo and Haiquan Zhao and Chen Wang and Xiaoqiang Long and Yalin Liu and Wenjing Luo},
journal= {arXiv preprint arXiv:2605.18432},
year = {2026}
}