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Missing data are an important issue in large-scale low-cost wireless sensor networks. In these measurement applications, sensor failure, data transmission errors, and data removal for saving transmission power are the main causes for the missing data. This paper studies the impact of missing data on the measurement of the time-variant frequency response function (TV-FRF) of linear time-variant systems. A nonparametric procedure for estimating the missing data and the TV-FRF is proposed. The theory is illustrated by simulations and experiments.
|Number of pages||9|
|Journal||IEEE Transactions on Instrumentation and Measurement|
|Early online date||Aug 2017|
|Publication status||Published - 1 Nov 2017|
- Missing data
- nonparametric estimates
- time-variant frequency response function (TV-FRF)
- time-variant systems
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