Paper Info
Title
Efficient Sampling Rate Offset Compensation - an Overlap-Save Based Approach
Abstract
Distributed sensor data acquisition usually encompasses data sampling by the individual devices, where each of them has its own oscillator driving the local sampling process, resulting in slightly different sampling rates at the individual sensor nodes. Nevertheless, for certain downstream signal processing tasks it is important to compensate even for small sampling rate offsets. Aligning the sampling rates of oscillators which differ only by a few parts-per-million, is, however, challenging and quite different from traditional multirate signal processing tasks. In this paper we propose to transfer a precise but computationally demanding time domain approach, inspired by the Nyquist-Shannon sampling theorem, to an efficient frequency domain implementation. To this end a buffer control is employed which compensates for sampling offsets which are multiples of the sampling period, while a digital filter, realized by the well-known Overlap-Save method, handles the fractional part of the sampling phase offset. With experiments on artificially misaligned data we investigate the parametrization, the efficiency, and the induced distortions of the proposed resampling method. It is shown that a favorable compromise between residual distortion and computational complexity is achieved, compared to other sampling rate offset compensation techniques.
Year
DOI
Venue
2018
10.23919/EUSIPCO.2018.8553379
2018 26th European Signal Processing Conference (EUSIPCO)
Keywords
Field
DocType
Overlap-Save method,sampling rate offset,resampling
Frequency domain,Time domain,Signal processing,Computer science,Sampling (signal processing),Algorithm,Sampling (statistics),Nyquist–Shannon sampling theorem,Resampling,Offset (computer science)
Conference
ISSN
ISBN
Citations 
2219-5491
978-1-5386-3736-4
2
PageRank 
References 
Authors
0.40
8
2
Name
Order
Citations
PageRank
Joerg Schmalenstroeer16511.46
Reinhold Haeb-Umbach21487211.71