Using Kalman filter for digital and signal processors

Abstract

This distribution deals with the description of the created application which is dedicated for the calculation of constant value estimation of a measured signal. This signal is loaded by the measurement noise. The using of an Adaptive Kalman filter is the core of the created application. The value of selective variance of a measurement signal is used as an adaptable parameter of Kalman filter. This application was implemented into Digital Signal Processor (DSP) Environment, in the concrete 32bit ADSP-21065L DSP processor was used. This processor enables to process data in the floating-point format.