Skip to main content
ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Cotton Production and Processing Research » Research » Publications at this Location » Publication #106168
Title: ADAPTIVE SIGNAL PROCESSING FOR REMOVAL OF IMPULSE NOISE FROM YIELD MONITOR SIGNALS

Author
item Pelletier, Mathew
item UPADHYAYA, S - UNIV OF CALIFORNIA-DAVIS

Submitted to: Transactions of the ASAE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 8/14/2001
Publication Date: N/A
Citation: N/A

Interpretive Summary: The objective of this study was to develop a method for improving load/yield monitor signals that are corrupted by the act of driving the harvester through the field over bumpy terrain. The non-uniform terrain creates undesirable artifacts to the measured yield signal. Through the use of advanced adaptive noise cancellation techniques these noise artifacts can be removed from the true yield signal. The cancellation of the noise components in the yield monitoring signals will allow for the use of yield monitors in small research plots that are common in agronomic field trials. The system demonstrated the ability of adaptive signal processing techniques to reduce impulse noise for use in yield monitoring.

Technical Abstract: The objective of this study was to develop a method for load/yield monitor corrections for impulse noise that happens whenever a harvester drives over a hole, ditch, or large rocks. The system demonstrated the ability of adaptive signal processing techniques to reduce impulse noise for use in yield monitoring. The system was mathematically modeled and then simulated using the Mathworks Matlab Analytical Analysis model to produce the test results.