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Proceedings Paper

C40 on-line demodulation of phase modulated signals using different Kalman filter models
Author(s): Dirk Balzer; Otmar Loffeld; Christoph Arndt
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Paper Abstract

One of several methods to demodulate noisy, angular modulated signals is using Kalman Filtering techniques, offering a combination of two advantages: demodulation and filtering in one step. Different Kalman Filter models have been examined to achieve good filtering and error-reduced demodulation results without consuming too much time. The models usually use at least two inputs for filtering--the quadrature components and supplementary inputs. Using the quadrature components, a more effective exploitation of the given phase information is achieved. The principle of data fusion is increased furthermore by adding other relevant input signals. The filtering results become more precise but unstable at the same time. Smoother filters are expected to increase the stability of the Kalman Filter. Filtering from two directions to determine one estimated phase value, leads to a better detection of outliers and keep the control parameters stable. Simulations and Online-Filtering is done to work out the best fitting model for this problem.

Paper Details

Date Published: 25 September 1997
PDF: 10 pages
Proc. SPIE 3100, Sensors, Sensor Systems, and Sensor Data Processing, (25 September 1997); doi: 10.1117/12.287744
Show Author Affiliations
Dirk Balzer, Univ. Siegen (Germany)
Otmar Loffeld, Univ. Siegen (Germany)
Christoph Arndt, Univ. Siegen (Germany)

Published in SPIE Proceedings Vol. 3100:
Sensors, Sensor Systems, and Sensor Data Processing
Otmar Loffeld, Editor(s)

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