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 -

(2) Texas Instruments, Dallas, TX USA.


Smart Grid Communications Research at UT Austin


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
  1. fitting measured data from outdoor narrowband PLC system field trials to a cyclostationary model, and
  2. 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.


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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Last Updated 09/15/14.