期刊
SIGNAL PROCESSING
卷 133, 期 -, 页码 260-269出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sigpro.2016.11.026
关键词
Fractional order calculus; LMS; Gradient descent method; Variable initial value; Convergence performance
资金
- National Natural Science Foundation of China [61374101, 61573332, 61601431]
- Fundamental Research Funds for the Central Universities [WK2100100028]
This article presents a novel fractional order LMS (FOLMS) algorithm, which involves a variable gradient order scheme. The fractional order gradient descent method is revisited firstly. A variable initial value scheme is proposed to attenuate the non-locality of fractional order calculus and to ensure the convergence of the proposed FOLMS algorithm. Furthermore, it is noticed that a contradiction between rapidity and accuracy always appears together with the advancement of FOLMS algorithm; namely, a larger value of the gradient order can not only give a faster convergence speed, but also correspond to a larger estimation error. For the purpose of removing the contradiction between rapidity and accuracy, a variable gradient order scheme is designed for the FOLMS algorithm. Based on a sufficient large number of independent runs, the efficiency and superiority of the proposed algorithm are demonstrated in numerical examples finally.
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