Traian Abrudan : Publications

Book chapters

• [1]

  Magneto−Inductive Underground Tracking: Principles and Systems

  T. Abrudan‚ O. Kypris‚ N. Trigoni and A. Markham

  In Elsevier, editor, Underground Sensing: Monitoring and hazard detection for environment and infrastructure − 1st edition. Chapter 8.2. 2016.

  Details about Magneto−Inductive Underground Tracking: Principles and Systems | BibTeX data for Magneto−Inductive Underground Tracking: Principles and Systems | Download  (pdf) of Magneto−Inductive Underground Tracking: Principles and Systems

• [2]

  Advances in Independent Component Analysis and Learning Machines

  V. Koivunen and T. Abrudan

  Chapter 4: Riemannian optimization in complex−valued ICA. Pages 83–94. Academic Press. Edition 1. April, 2015.

  (Eds: Ella Bingham and Samuel Kaski and Jorma Laaksonen and Jouko Lampinen – In honour of Professor Erkki Oja)

  Details about Advances in Independent Component Analysis and Learning Machines | BibTeX data for Advances in Independent Component Analysis and Learning Machines

Journal papers

• [1]

  Neighbor−aided localization in vehicular networks

  João Barros Susana B Cruz Traian E Abrudan Zhuoling Xiao Niki Trigoni

  In IEEE Transactions on Intelligent Transportation Systems (vol 18‚ issue 10). 2017.

  Details about Neighbor−aided localization in vehicular networks | BibTeX data for Neighbor−aided localization in vehicular networks | Download  (pdf) of Neighbor−aided localization in vehicular networks

• [2]

  Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

  T. Abrudan‚ O. Kypris‚ N. Trigoni and A. Markham

  In IEEE Access arXiv preprint arXiv:1606.03065. 2016.

  Details about Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization | BibTeX data for Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization | Download  (pdf) of Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

• [3]

  Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

  T. Abrudan‚ Z. Xiao‚ A. Markham and N. Trigoni

  In IEEE Transactions on Geoscience and Remote Sensing 54(8). Pages 4376−4391. 2016.

  Details about Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network | BibTeX data for Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network | Download  (pdf) of Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

• [4]

  Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

  Traian E Abrudan‚ Zhuoling Xiao‚ Andrew Markham and Niki Trigoni

  In IEEE Transactions on Geoscience and Remote Sensing. Vol. 54. No. 8. Pages 4376–4391. 2016.

  Details about Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network | BibTeX data for Underground Incrementally Deployed Magneto−Inductive 3−D Positioning Network

• [5]

  Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

  Traian E Abrudan‚ Orfeas Kypris‚ Niki Trigoni and Andrew Markham

  In IEEE Access (to appear). 2016.

  Details about Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization | BibTeX data for Impact of Rocks and Minerals on Underground Magneto−Inductive Communication and Localization

• [6]

  Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc)

  Train Abrudan‚ Zhuoling Xiao‚ Andrew Markham and Niki Trigoni

  In IEEE Journal on Selected Areas in Communications. No. 33(11). Pages 2404−2417. 2015.

  Details about Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc) | BibTeX data for Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc) | Download  (pdf) of Distortion Rejecting Magneto−inductive 3−D Localization (MagLoc)

• [7]

  Distortion Rejecting Magneto−Inductive 3−D Localization (MagLoc)

  T. E. Abrudan‚ Zhuoling Xiao‚ A. Markham and N. Trigoni

  In IEEE Journal on Selected Areas in Communications. Vol. PP. No. 99. Pages 1–14. May, 2015.

  Details about Distortion Rejecting Magneto−Inductive 3−D Localization (MagLoc) | BibTeX data for Distortion Rejecting Magneto−Inductive 3−D Localization (MagLoc)

• [8]

  RSSI−based Relative Localisation for Mobile Robots

  L. Oliveira‚ H. Li‚ L. Almeida and T. E. Abrudan

  In Ad Hoc Networks (Elsevier). Vol. 13. Pages 321–335. February, 2014.

  Details about RSSI−based Relative Localisation for Mobile Robots | BibTeX data for RSSI−based Relative Localisation for Mobile Robots | Download  (pdf) of RSSI−based Relative Localisation for Mobile Robots

• [9]

  Impact of Position Errors on Path Loss Model Estimation for Device−to−Device Channels

  P. M. Santos‚ T. E. Abrudan‚ A. Aguiar and J. Barros

  In IEEE Transaction on Wireless Communications. Vol. 13. No. 5. Pages 2353–2361. May, 2014.

  Details about Impact of Position Errors on Path Loss Model Estimation for Device−to−Device Channels | BibTeX data for Impact of Position Errors on Path Loss Model Estimation for Device−to−Device Channels | Download  (pdf) of Impact of Position Errors on Path Loss Model Estimation for Device−to−Device Channels

• [10]

  Time−Synchronization and Ranging for OFDM Systems Using Time−Reversal

  T. E. Abrudan‚ A. Haghparast and V. Koivunen

  In IEEE Transactions on Instrumentation and Measurement. Vol. 62. No. 12. Pages 3276−3290. December, 2013.

  Details about Time−Synchronization and Ranging for OFDM Systems Using Time−Reversal | BibTeX data for Time−Synchronization and Ranging for OFDM Systems Using Time−Reversal | Download  (pdf) of Time−Synchronization and Ranging for OFDM Systems Using Time−Reversal | DOI (10.1109/TIM.2013.2272840)

• [11]

  Construction of Minimum Euclidean Distance MIMO Precoders and Their Lattice Classifications

  D. Kapetanović‚ F. Rusek‚ T. E. Abrudan and V. Koivunen

  In IEEE Transactions on Signal Processing. Vol. 60. No. 8. Pages 4470–4474. August, 2012.

  Details about Construction of Minimum Euclidean Distance MIMO Precoders and Their Lattice Classifications | BibTeX data for Construction of Minimum Euclidean Distance MIMO Precoders and Their Lattice Classifications | Download  (pdf) of Construction of Minimum Euclidean Distance MIMO Precoders and Their Lattice Classifications

• [12]

  Conjugate Gradient Algorithm for Optimization under Unitary Matrix Constraint

  T. Abrudan‚ J. Eriksson and V. Koivunen

  In Signal Processing (Elsevier). Vol. 89. No. 9. Pages 1704–1714. September, 2009.

  (to DOWNLOAD the Matlab codes for optimization under unitary matrix constraint‚ click "Details")

  Details about Conjugate Gradient Algorithm for Optimization under Unitary Matrix Constraint | BibTeX data for Conjugate Gradient Algorithm for Optimization under Unitary Matrix Constraint | Download  (pdf) of Conjugate Gradient Algorithm for Optimization under Unitary Matrix Constraint

• [13]

  Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint

  T. Abrudan‚ J. Eriksson and V. Koivunen

  In IEEE Transaction on Signal Processing. Vol. 56. No. 3. Pages 1134–1147. March, 2008.

  (to DOWNLOAD the Matlab codes for optimization under unitary matrix constraint‚ click "Details")

  Details about Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint | BibTeX data for Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint | Download  (pdf) of Steepest Descent Algorithms for Optimization Under Unitary Matrix Constraint

• [14]

  Blind Equalization in Spatial Multiplexing MIMO−OFDM Systems based on Vector CMA and Decorrelation Criteria

  T. Abrudan and V. Koivunen

  In Wireless Personal Communications (Springer). Vol. 43. No. 4. Pages 1151–1172. December, 2007.

  Details about Blind Equalization in Spatial Multiplexing MIMO−OFDM Systems based on Vector CMA and Decorrelation Criteria | BibTeX data for Blind Equalization in Spatial Multiplexing MIMO−OFDM Systems based on Vector CMA and Decorrelation Criteria

Conference papers

• [1]

  Reducing Magneto−Inductive Positioning Errors in a Metal−Rich Indoor Environment

  Orfeas Kypris‚ T. E. Abrudan and Andrew Markham

  In IEEE Sensors Conference. Pages 1–4. 2015.

  (to appear)

  Details about Reducing Magneto−Inductive Positioning Errors in a Metal−Rich Indoor Environment | BibTeX data for Reducing Magneto−Inductive Positioning Errors in a Metal−Rich Indoor Environment

• [2]

  A Realistic Evaluation and Comparison of Indoor Location Technologies: Experiences and Lessons Learned

  D. Lymberopoulos‚ Jie Liu‚ Xue Yang‚ R. R. Choudhury‚ V. Handziski‚ S. Sen‚ F. Lemic‚ J. Buesch‚ Z. Jiang‚ Han Zou‚ Hao Jiang‚ Chi Zhang‚ Ashwin Ashok‚ Chenren Xu‚ P. Lazik‚ N. Rajagopal‚ A. Rowe‚ A. Ghose‚ N. Ahmed‚ Zhuoling Xiao‚ Hongkai Wen‚ T. E. Abrudan‚ A. Markham‚ T. Schmid‚ D. Lee‚ M. Klepal‚ C. Beder‚ M. Nikodem‚ S. Szymczak‚ P. Hoffmann‚ L. Selavo‚ D. Giustiniano‚ V. Lenders‚ M. Rea‚ A. Marcaletti‚ C. Laoudias‚ D. Zeinalipour−Yazti‚ Yu−Kuen Tsai‚ A. Bestmann‚ R. Reimann‚ Liqun Li‚ Chunshui Zhao‚ S. Adler‚ S. Schmitt‚ V. Dentamaro‚ D. Colucci‚ P. Ambrosini‚ A. Ferraz‚ L. Martins‚ P. Bello‚ A. Alvino‚ V. Sark‚ G. Pirkl and P. Hevesi

  In The 14th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 2015). ACM – Association for Computing Machinery. April, 2015.

  Details about A Realistic Evaluation and Comparison of Indoor Location Technologies: Experiences and Lessons Learned | BibTeX data for A Realistic Evaluation and Comparison of Indoor Location Technologies: Experiences and Lessons Learned | Link to A Realistic Evaluation and Comparison of Indoor Location Technologies: Experiences and Lessons Learned

• [3]

  Demo: IMU−Aided Magneto−Inductive Localization

  T. E. Abrudan‚ Zhuoling Xiao‚ A. Markham and N. Trigoni

  In Microsoft Indoor Localization Competition‚ at the 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 2014). Berlin‚ Germany. 2014.

  Details about Demo: IMU−Aided Magneto−Inductive Localization | BibTeX data for Demo: IMU−Aided Magneto−Inductive Localization

• [4]

  A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD)

  T. E. Abrudan‚ A. Markham and N. Trigoni

  In The 11th European Conference on Wireless Sensor Networks (EWSN 2014). Oxford‚ UK. 2014.

  Details about A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD) | BibTeX data for A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD) | Download  (pdf) of A Case for Magneto−Inductive Indoor Localization (BEST POSTER AWARD)