Adaptive Finite Impulse Response Filter Based on Time Delay Neural Network

被引：0

作者：

Sushchenko, Olha ^{[1
]}

Bezkorovainyi, Yurii ^{[1
]}

Salyuk, Oleksander ^{[1
]}

Zhdanov, Oleksander ^{[2
]}

机构：

[1] Natl Aviat Univ, Aerosp Control Syst Dept, Kiev, Ukraine

[2] Natl Aviat Univ, Dept Aerodynam & Aircraft Flight Safety, Kiev, Ukraine

来源：

2024 IEEE 19TH INTERNATIONAL CONFERENCE ON THE PERSPECTIVE TECHNOLOGIES AND METHODS IN MEMS DESIGN, MEMSTECH 2024 | 2024年

关键词：

adaptive filter; finite impulse response; neural network; time delay; processing data;

D O I：

10.1109/MEMSTECH63437.2024.10620046

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper discusses the design of an adaptive system for filtering primary navigation information obtained from MEMS sensors based on the approximation of a non-causal finite impulse response filter using a time delay neural network. Basic principles of finite impulse response filters are represented. Characteristics of the most widespread filters acceptable for processing data in MEMS devices are given. The approach to design of the adaptive non-casual filter using a time delay neural network are represented. Simulation results is given.

引用

页码：7 / 11

页数：5

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