In this thesis, the design of a frequency analysis system for conveyor belt weighing systems is designed. The objective of the thesis is to detect a change in resonance frequency, caused by a change of pressure applied to a sensor. The design features a resolution of 10 000 discr
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In this thesis, the design of a frequency analysis system for conveyor belt weighing systems is designed. The objective of the thesis is to detect a change in resonance frequency, caused by a change of pressure applied to a sensor. The design features a resolution of 10 000 discrete frequency levels in a bandwidth of 0.5 MHz. Noise division of a pseudo random noise (PRN) signal is used to obtain a clear frequency spectrum. An ADC is implemented to digitize an analog input signal. Furthermore, a digital down converter using a CICfilter and CORDIC based controlled digital oscillator is applied. The frequency-domain translation is achieved using an FFT. Lastly, an interpolation over the spectrum is realized to increase the frequency resolution. Additionally, an analytical analysis of the primary noise sources in the system is given. The entire system is simulated in MATLAB to validate the designed blocks.