Reconstructing Pulse-Code Modulation Telemetry Data with Dropouts

International Telemetering Conference Proceedings / November 19-21, 1979 / Town and Country Hotel, San Diego, California === A data handling system was developed which transfers serial pulse-code modulation (PCM) telemetry data from an analog tape to a digital tape for analysis on a digital computer...

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Bibliographic Details
Main Authors: Hull, M. L., Mote, C. D., Jr., Lamoreux, L. W.
Other Authors: University of California, Davis
Language:en_US
Published: International Foundation for Telemetering 1979
Online Access:http://hdl.handle.net/10150/613879
http://arizona.openrepository.com/arizona/handle/10150/613879
Description
Summary:International Telemetering Conference Proceedings / November 19-21, 1979 / Town and Country Hotel, San Diego, California === A data handling system was developed which transfers serial pulse-code modulation (PCM) telemetry data from an analog tape to a digital tape for analysis on a digital computer. The PCM data were collected from field experiments in snow skiing which measured the excitation between the ski boot and the ski. PCM data were FM transmitted and stored on an analog tape recorder. In the laboratory, data were decoded from the tape and parallel input to a Nova minicomputer which buffered the data and wrote tapes compatible with a CDC 6400 computer. A custom-built PCM decoder provided control and status commands to drive the minicomputer interrupt logic. The data transfer rate was 50 kbits/s. Special consideration was given to the problem of information losses. Lost data frames were not stored by the minicomputer and the data time series on the digital tape is discontinuous at each loss point. Spectral analysis of data with discontinuities produces erroneous results. Fourier coefficients and power spectra were computed for both continuous and discontinuous signals. Discontinuities caused significant reductions in amplitude and increase in bandwidth of spectrum estimates. Unique software eliminated data discontinuities by reconstructing the original time-base with linearly interpolated pseudo-data. Results are presented which show the enhanced accuracy obtained in spectrum estimates with the reconstructed data.