Abstract
This paper aims to implement and evaluate performances of adaptive filters applied to linear systems identification on a dsPIC platform. To do so, we considered two different applications: the identification of DC motor transfer function and the acoustic echo cancellation. For the DC motor case, real-time identification is not necessarily required. However, for the acoustic echo cancellation case, real-time identification is crucial, making execution time a key parameter in this scenario. We have implemented three adaptive algorithms: LMS, NLMS, and RLS. The first two are known for their computational simplicity, while RLS is recognized for its convergence speed. Performances evaluation is primarily based on accuracy and computation speed. A comparison is carried out in both cases to determine which algorithm is more suitable for each application. The results obtained showed that RLS is better suited for the DC motor case, while NLMS is more suitable for acoustic echo cancellation, particularly when the impulse response of the echo path is long.
References
- Benesty, J., & Huang, Y. (2003). Adaptive signal processing-application to real-world problems. Berlin : Springer.
- Colak, I. S. (2015). Controller design for a limited angle torque motor and dsPIC implementation In OPTIM, ELECTROMOTION Conference (pp.649-654). Side, Turkey.
- Diniz, P. S. R. (2020). Adaptive filtering. Switzerland AG: Springer Nature
Details
| Primary Language | English |
|---|---|
| Subjects | Environmental and Sustainable Processes |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 25, 2023 |
| Publication Date | December 30, 2023 |
| Published in Issue | Year 2023Volume: 26 |
