1 / 14

Cyclostationary Noise Mitigation in Narrowband Powerline Communications

Cyclostationary Noise Mitigation in Narrowband Powerline Communications. Jing Lin and Brian L. Evans Department of Electrical and Computer Engineering The University of Texas at Austin Dec. 4, 2012. Local Utility Smart Grid Communications. Communication backhauls:

abra-weaver
Download Presentation

Cyclostationary Noise Mitigation in Narrowband Powerline Communications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Cyclostationary Noise Mitigation in Narrowband Powerline Communications Jing Lin and Brian L. Evans Department of Electrical and Computer Engineering The University of Texas at Austin Dec. 4, 2012

  2. Local Utility Smart Grid Communications • Communication backhauls: • carry traffic between concentrator and utility Local utility Data concentrator • Last mile communications: • between smart meters and data concentrators Transformer Smart meters • Home area networks: • interconnect smart appliances, line transducers and smart meters

  3. Local Utility Powerline Communications

  4. Non-Gaussian Noise in NB-PLC • Non-Gaussian noise is the most performance limiting factor in NB-PLC • Performance of conventional system degrades in non-AWGN • Non-Gaussian noise reaches 30-50 dB/Hz above background noise in PLC • Typical maximum transmit power of a commercial PLC modem is below 40W • Significant path loss

  5. Cyclostationary Noise: Dominant in NB-PLC • Noise statistics vary periodically with half the AC cycle • Caused by switching mode power supplies (e.g. DC-DC converter, light dimmer) Data collected at an outdoor low-voltage site

  6. Statistical Modeling of Cyclostationary Noise • Linear periodically time varying(LPTV) system model [Nassar12, IEEE P1901.2]

  7. Model Parameterization • Periodically switching linear autoregressive (AR) process • Introduce a state sequence , • Parameterize each LTI filter by an order-r AR filter AR coefficients at time k: State sequence … AR parameters Observation …

  8. Nonparametric Bayesian Learning of Switching AR Model • Hidden Markov Model (HMM) assumption on the state sequence • HMM with infinite number of states • Transition probability matrix should be sparse vectors (clustering) Self transition is more likely than inter-state transitions • Sticky hierarchical Dirichlet Process (HDP) prior on [Fox11]

  9. Nonparametric Bayesian Learning of Switching AR Model • Learning AR coefficients conditioned on the state sequence • Partition into M groups corresponding to states 1 to M • Form M independent linear regression problems • Solve for using Bayesian linear regression … … [Fox11]

  10. Cyclostationary Noise Mitigation Approach • Estimate switching AR model parameters • Receiver can listen to the noise during no-transmission intervals • Estimate the switching AR model parameters • Noise whitening at the receiver • ,

  11. Simulation Settings • An OFDM system • Cyclostationary noise is synthesized from the LPTV system model

  12. Communication Performance Uncoded Coded

  13. Reference • [Nassar12] M. Nassar, A. Dabak, I. H. Kim, T. Pande, and B. L. Evans, “CyclostationaryNoise Modeling In Narrowband Powerline Communication For Smart Grid Applications,” Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Proc, 2012. • [IEEE P1901.2] A. Dabak, B. Varadrajan, I. H. Kim, M. Nassar, and G. Gregg, Appendix for noise channel modeling for IEEE P1901.2,IEEE P1901.2 Std., June 2011, doc: 2wg-11-0134-05-PHM5. • [Fox11] E. B. Fox, E. B. Sudderth, M. I. Jordan, A. S. Willsky, “Bayesian Nonparametric Inference of Switching Dynamic Linear Models,” IEEE Trans. on Signal Proc, vol. 59, pp. 1569–1585, 2011.

  14. Thank you

More Related