Suppression of polarization random noise in a two-dimensional force sensorbased on random forest
<p>To improve the accuracy of polarization random noise signal recognition and the noise suppression effect, a method of polarization random noise suppression in a two-dimensional force sensor based on random forest is proposed. The polarization random noise signal model is constructed, the po...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
|
| Series: | Journal of Sensors and Sensor Systems |
| Online Access: | https://jsss.copernicus.org/articles/14/1/2025/jsss-14-1-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | <p>To improve the accuracy of polarization random noise signal recognition and the noise suppression effect, a method of polarization random noise suppression in a two-dimensional force sensor based on random forest is proposed. The polarization random noise signal model is constructed, the polarization random noise signal is enhanced and the polarization random noise power spectrum of a two-dimensional force sensor is calculated. The characteristic parameters of a polarization random noise signal are extracted and the polarization random noise signal recognition is completed by using a random forest model. Finally, fast Fourier transform is applied to suppress polarization random noise. Simulation results show that the method has a polarized random noise signal with a signal-to-noise range of <span class="inline-formula">−</span>15 to 5 dB. The maximum recognition rate even reached 0.99. Therefore, the proposed noise suppression model has the advantages of high accuracy and a good noise reduction effect, which provides a new scheme for the polarization noise suppression problem in the sensor industry.</p> |
|---|---|
| ISSN: | 2194-8771 2194-878X |