Articles | Volume 15
https://doi.org/10.5194/ars-15-163-2017
https://doi.org/10.5194/ars-15-163-2017
21 Sep 2017
 | 21 Sep 2017

Interpolation algorithm for asynchronous ADC-data

Stefan Bramburger, Benny Zinke, and Dirk Killat

Abstract. This paper presents a modified interpolation algorithm for signals with variable data rate from asynchronous ADCs. The Adaptive weights Conjugate gradient Toeplitz matrix (ACT) algorithm is extended to operate with a continuous data stream. An additional preprocessing of data with constant and linear sections and a weighted overlap of step-by-step into spectral domain transformed signals improve the reconstruction of the asycnhronous ADC signal. The interpolation method can be used if asynchronous ADC data is fed into synchronous digital signal processing.

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Short summary
Analog environmental signals must be converted to digital for processing and transmitting. This analog to digital conversion is usually done with a constant rate. To save energy during conversion and transmission this conversion rate can be made adaptable to the signal form, which is called asynchronous A-to-D conversion. Before digital processing the asynchronous sampled data must be interpolated to a constant rate. This interpolation is subject of the article. The work was funded by the DFG.