1 / 17

Wideband PowerLine Positioning for Indoor Localization

Wideband PowerLine Positioning for Indoor Localization. Ubicomp 2008 Presenter: Vincent. Outline. Overview PLP background Proposed Solution Test environment Wideband PLP Results Conclusion. Overview.

gigi
Télécharger la présentation

Wideband PowerLine Positioning for Indoor Localization

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. Wideband PowerLine Positioning for Indoor Localization Ubicomp 2008 Presenter: Vincent

  2. Outline • Overview • PLP background • Proposed Solution • Test environment • Wideband PLP Results • Conclusion

  3. Overview • Patel et al. (UbiComp 2006) introduced PowerLine Positioning (PLP), a fingerprinting-based indoor localization system. • PLP Limitations • Suboptimal frequency-pair selection. • Sensitivity to noise. • Temporal stability. • Solution • replace the frequency-pair approach with a wideband signal.

  4. PLP Background

  5. PLP Background • Amplitudes create a unique signature at every physical location. • Initial site survey required. • K-Nearest-Neighbors used for post-site-survey mapping.

  6. 447 kHz, 11.5 MHz 8.5 MHz, 11.0 MHz 8.5 MHz, 9.0 MHz Classification Results • KNN classification of 66 grid-points using a K value of 1. • Frequency pairs chosen independently for each of the three granularities for worst and best cases. • Test and training data captured several hours apart.

  7. Noise Sensitivity • How sensitive is two-frequency amplitude data to noise? • Added zero-mean Gaussian noise. • Trained on the original uncorrupted data and tested on the corrupted data.

  8. How much noise exists?

  9. How much noise exists?

  10. Proposed Solution • Frequency pair approach suffers from poor performance and noise sensitivity. • Proposed solution: wideband signaling • Use all 44 tested frequency amplitudes for classification - 44 dimensional classifier space. (447kHz, 448kHz, 600kHz, 601kHz, 500kHz ~ 20MHz in 500kHz steps)

  11. Test Environments • 66 surveyed grid-points on a best-effort 0.9m x 0.9m grid. • 3 Levels of classification • Room • Sub-room • Grid

  12. Locator “tag” Measurement Apparatus • Software radio used to record raw over-the-air waveforms with a 64 MHz ADC. • Broadband loop-antenna used for prototyping speed and flexibility. • Necessary hardware has been reduced to portable size for deployments in the future.

  13. Wideband Results

  14. Do you need 44 frequencies?

  15. Wideband Noise Resistance Narrowband, 2 Frequency Wideband, 44 Frequency

  16. Wideband Temporal Stability

  17. Conclusion • PLP Limitations • Suboptimal frequency-pair selection. • Sensitivity to noise. • Temporal stability. • Solution • replace the frequency-pair approach with a wideband signal.

More Related