Our research

Research

Our main research directions, the bare essentials described with some keywords and a few (recent) outcomes.

Advanced GNSS receiver design:

Keywords: Resilient navigation, anti-jamming, anti-spoofing, high-sensitivity processing, direct position estimation, ionospheric scintillation, GNSS/IMU hybridization, and software-defined radio.

D. Borio and P. Closas, “A Fresh Look at GNSS Anti-Jamming,” Inside GNSS magazine, Sep/Oct issue, 2017.

P. Closas and A. Gusi-Amigó, “Direct Position Estimation of GNSS Receivers,” IEEE Signal Processing Magazine, vol. 34, no. 5, pp. 72-84, Sept. 2017.

J. Vilà-VallsP. Closas and J. T. Curran, “Multi-frequency GNSS Robust Carrier Tracking for Ionospheric Scintillation Mitigation”, Journal of Space Weather and Space Climate, vol. 7, A26, October 2017. DOI: 10.1051/swsc/2017020

J. Arribas, C. Fernández-Prades, P. Closas, “GNSS acquisition under interferences by array signal processing: theory and implementation”, Proc. of the IEEE, Vol. 104, No. 6, pp. 1207-1220, June 2016.

P. Closas, C. Fernández-Prades, and J. A. Fernández-Rubio, “A Bayesian Approach to Multipath Mitigation in GNSS Receivers,” IEEE Journal on Selected Topics in Signal Processing, special issue on “Advanced Signal Processing for GNSS and Robust Navigation”, Vol. 3, no. 4, August 2009.

P. Closas, C. Fernández-Prades, and J. A. Fernández-Rubio, “Maximum Likelihood Estimation of Position in GNSS,” IEEE Signal Processing Lett., Vol. 14, No. 5, May 2007.


Indoor navigation:

Keywords: GNSS, WiFi, UWB, IMU, map matching, crowd-enhanced localization, and sensor fusion.

J. M. Castro-Arvizu, J. Vilà-Valls, A. Moragrega, P. Closas, J. A. Fernandez-Rubio, “Received signal strength–based indoor localization using a robust interacting multiple model–extended Kalman filter algorithm,” International Journal of Distributed Sensor Networks, Vol 13, Issue 8, First published date: August-29-2017

D. Dardari, P. Closas, P. Djuric, “Indoor tracking: Theory, Methods, and Technologies,” IEEE Trans. on Vehicular Tech., Vol. 64, No. 4, pp. 1263-1278, 2015.

A. Dhital, P. Closas, and C. Fernández-Prades, “Bayesian Filtering For Indoor Localization And Tracking In Wireless Sensor Networks,” EURASIP Journal on Wireless Communications and Networking, special issue on “Localization in Mobile Wireless and Sensor Networks”, Vol. 2011, June 2011.


Wireless communications:

Keywords: Interference-robust communications, bandwidth constrained cooperation, deep space communications, low-SNR conditions.

J. Curran, M. Paonni, M. Navarro, S. Pfletschinger, P. Closas, M. Anghileri, “Coding aspects of Secure GNSS receivers”, Proc. of the IEEE, Vol. 104, No. 6, pp. 1271-1287, June 2016.

J. Vilà-Valls, P. Closas, M. Navarro, C. Fernández-Prades, “Are PLLs Dead? A Tutorial on Kalman Filter-based Techniques for Digital Carrier Synchronization,” IEEE Aerospace and Electronic Systems Magazine, 32 (7), 28-45, 2017.

M. Baldi, M. Bertinelli, F. Chiaraluce, P. Closas, R. Garello, N. Maturo, M. Navarro, E. Paolini, S. Pfletschinger, J. Vilà-Valls, S. Lorenzo, P. Freire, NEXCODE: Next Generation Uplink Coding Techniques, IEEE Aerospace and Electronic Systems Magazine, 32 (6), 4-15, 2017.


Mathematical biology:

Keywords: Computational neuroscience, single neuron tracking, epidemiology and outbreak detection.

P. Closas and A. Guillamon, ” Sequential estimation of intrinsic activity and synaptic input in single neurons by particle filtering with optimal importance density,” EURASIP Journal on Advances in Signal Processing, 2017.1, no. 1 (2017): 62.

P. Closas, E. Coma, L. Méndez, “Sequential detection of influenza epidemics by the Kolmogorov-Smirnov test,” BMC Medical Informatics and Decision Making, October 2012.


Robust filtering in Complex Systems:

Keywords: Stochastic filtering, high-dimensionality, model mismatch, Sequential Monte Carlo, particle filtering, sigma-point Kalman filtering, and estimation bounds.

J. Vilà-Valls, Jordi and P. Closas, “NLOS mitigation in indoor localization by marginalized Monte Carlo Gaussian smoothing.” EURASIP Journal on Advances in Signal Processing, 2017.1, no. 1 (2017): 62.

J. Vilà-Valls, P. Closas, Á. García-Fernández, “Uncertainty Exchange through Multiple Quadrature Kalman Filtering,” IEEE Signal Processing Letters, vol 23, no 12, pp 1825–1829, Dec 2016.

P. Closas, M. F. Bugallo, “Improving Accuracy by Iterated Multiple Particle Filtering,” IEEE Signal Processing Lett., Vol. 19, No. 8, pp. 531–534, August 2012.