De-noising Method Based on Kernel Adaptive Filtering for Telemetry Vibration Signal of the Vehicle Test
- 10.2991/icmmbe-16.2016.86How to use a DOI?
- Telemetry; Kernel Adaptive Filtering; Vibration Signal; De-noising
A kernel adaptive filtering de-nosing method for telemetry signal was proposed. The telemetry vibration signal is often interfered with Gaussian noise and impulse noise at the same time, the tradition de-noising method cannot obtain good de-noising performance. In the vehicle test, the vibration signal has typical non-stationary and non-linear characteristics, for which linear filtering method is failure. Kernel adaptive filtering transforms the input data to high dimension feature space and designs a linear method to solve the nonlinear problem. The proposed method uses kernel adaptive filtering to suppress the noise in the vibration signal of the vehicle test under norm cost function, which can keep effective under non-stationary and non-linear conditions. The simulation and test data processing results show the good performance of the proposed method which can apply in the telemetry vibration signal processing.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kejun Zeng PY - 2016/09 DA - 2016/09 TI - De-noising Method Based on Kernel Adaptive Filtering for Telemetry Vibration Signal of the Vehicle Test BT - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016) PB - Atlantis Press SP - 468 EP - 473 SN - 2352-5401 UR - https://doi.org/10.2991/icmmbe-16.2016.86 DO - 10.2991/icmmbe-16.2016.86 ID - Zeng2016/09 ER -