IEEE Int. Conf. on Acoustics, Speech and Signal Processing,
March 25-30, 2012, Kyoto, Japan, accepted for publication.
Cyclostationary Noise Modeling In Narrowband Powerline
Communication For Smart Grid Applications
Marcel Nassar (1),
Anand Dabak (2),
Il Han Kim (2),
Tarkesh Pande (2) and
Brian L. Evans (1)
(1) Department of Electrical
and Computer Engineering,
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
nassar.marcel@mail.utexas.edu -
bevans@ece.utexas.edu
(2) Texas Instruments, Dallas, TX USA.
Paper
Smart Grid Communications Research at UT Austin
Abstract
A Smart Grid intelligently monitors and controls energy flows
in an electric grid.
Having up-to-date distributed readings of grid conditions helps
utilities efficiently scale generation up or down to meet demand.
Narrowband powerline communication (PLC) systems can provide these
up-to-date readings from subscribers to the local utility over
existing power lines.
A key challenge in PLC systems is overcoming additive non-Gaussian noise.
In this paper, we propose to use a cyclostationary model for the dominant
component of additive non-Gaussian noise.
The key contributions are
- fitting measured data from outdoor narrowband PLC system field
trials to a cyclostationary model, and
- developing a cyclostationary noise generation model that fits
measured data.
We found that the cycle in the cyclostationary model matched half
of the period of the main powerline frequency, which is consistent
with previous work in indoor PLC additive noise modeling.
Questions
How do I find the coefficients of the filters in the three-channel
filter bank model for cyclostationary PLC noise generation?
We use the FFT spectrum for each independent region of the noise.
As a result, we didn't actually fit the spectrum to a filter which
could be done easily though spectral estimation techniques.
The FFT spectrum for each region is given in the following IEEE
contribution:
A. Dabak, B. Varadrajan, I. H. Kim, M. Nassar, and G. Gregg,
Appendix for noise channel modeling for IEEE P1901.2,
IEEE P1901.2 Standard, June 2011, doc: 2wg-11-0134-05-PHM5.
One could either use the data in the above document and fit it to
lower order filter; or, one can use the figures in our paper to
design your own simple filter that captures the primary properties
of the noise spectrum.
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