Application of new statistical methods for triangular sensor signal analysis

Abstract

Application of new statistical methods for triangular sensor signal analysis is considered. The critical parameter here is the center of the laser beam. It is shown that the proposed method allows increasing accuracy of the sensors. Experimental verification has shown that the use of center of mass technique decreases root-mean-square error in 50%. While the proposed centralized integral steps method gives almost the same error but the results are more stable and regular. Additional decrease of the error can be achieved by the use of optimal linear smoothing procedure. The proposed algorithms were approved and adapted to the microprocessor implementation.