IEEE SSP 2018

We have two accepted articles at the IEEE Workshop on Statistical Signal Processing (SSP ’18), 10-13 June 2018, Freiburg, Germany. Namely,

E. Arias-de-Reyna, D. Dardari, P. Closas, P. M. Djurić, “Estimation of Spatial Fields of NLOS/LOS Conditions for Improved Localization in Indoor Environments

Abstract: A major challenge in indoor localization is the presence or absence of LOS. Many models account for the effect of LOS on localization of objects because the absence of LOS, denoted as NLOS, directly affects the accuracy of any localization algorithm. The estimation of LOS/NLOS fields in indoor environments remains a major challenge. In this paper, we propose a novel crowd-based Bayesian learning approach to the estimation of ranging bias caused by LOS/NLOS conditions. The proposed method is based on the concept of Gaussian processes and exploits numerous measurements. The performance of the method is demonstrated with extensive experiments.

J. Vilà-Valls, P. Closas, M. F. Bugallo, J. Míguez, “A Probabilistic Approach for Adaptive State-Space Partitioning

Abstract: The multiple Bayesian filtering approach is based on the partitioning of the state-space in several lower dimensional subspaces, combined with a set of parallel filters that characterize the marginal subspace posteriors. This solution has been shown to perform well and solve some of the problems typically suffered by standard Bayesian filters, such as the curse-of-dimensionality, in some scenarios. An inherent problem in the application of multiple Gaussian filters (MGF) and multiple particle filters (MPF) proposed in the literature is how to partition the state-space. A closed answer does not exist because this is an application-dependent problem. In this contribution we further elaborate on the multiple filtering approach, and propose a probabilistic adaptive state-partitioning strategy based on the cross-correlation computed at each filter.

 

 

Article accepted in AESS Magazine

The article “Synchronization Challenges in Deep Space Communications” has been accepted for publication in the IEEE Aerospace & Electronic Systems Magazine.

J. Vilà-Valls, M. Navarro, P. Closas, M. Bertinelli, “Synchronization Challenges in Deep Space Communications”, IEEE Aerospace and Electronic Systems Magazine, accepted!

Abstract: This paper analyses the bottlenecks of receiver schemes utilized in transponders for space communications considering new operation scenarios, the potential gains introduced by more powerful coding schemes, and the advances on new transponder architectures. The paper focuses on the synchronization stages, where traditional closed-loop architectures are still used in current transponders for deep space communications. The performance analysis, based on thorough simulation results, identifies bottlenecks on operational modes for current CCSDS standards. The work also identifies enhancements to state-of-the-art receiver techniques that can bring significant gains into performance limits.

Chapter in Positioning and Navigation in Complex Environments

A new book on Positioning and Navigation in Complex Environments, for which I served in the Editorial Advisory Board, is now available. You can find our chapter on novel methods for IR-UWB positioning there!

E. Lagunas, M. Navarro, P. Closas, M. Najar, R. Garcia-Gutierrez, and G. Floriach, ¨Position Estimation for IR-UWB Systems: DPE, Multi-TOA Approach, and Their Compressive Sensing-Based Modeling,¨ Chapter 7 in ¨Positioning and Navigation in Complex Environments¨, K. Yu (Ed.), pp. 274-316, IGI Global, 2018.

IEEE CAMSAP 2017

We have 2 interesting articles in the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP ’17), both in special sessions:

  • Advances in Monte Carlo Methods for Optimization and Inference in High-dimensional Systems

Jordi Vilà-Valls, Pau Closas, Ángel F. García-Fernández and Carles Fernández-Prades, “Multiple Sigma-point Kalman Smoothers for High-dimensional State-space Models”, in the Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP ’17), 10-13 December 2017, Curaçao, Dutch Antilles.

  • Advances in Multi-Sensor Adaptive Processing for GNSS:

Miguel Angel Ribot, Joaquín Cabeza, Pau Closas, Cyril Botteron, Pierre-André Farine, “Estimation Bounds for GNSS Synthetic Aperture Techniques“, in the Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP ’17), 10-13 December 2017, Curaçao, Dutch Antilles.

Yes, I know, an awful place to be in December…

Article accepted in IEEE TAES

Our article has been finally accepted in the IEEE Trans. on Aerospace and Electronic Systems. There, we propose advanced carrier-tracking schemes to track ionospheric scintillation in GNSS receivers, with the ultimate goal of mitigating its effects.

J. Vilà-VallsP. Closas, C. Fernández-Prades and J. T. Curran, “On the Mitigation of Ionospheric Scintillation in Advanced GNSS Receivers”, IEEE Trans. on Aerospace and Electronic Systems, accepted!

Abstract: Ionospheric scintillation is one of the major threats and most challenging propagation scenarios affecting Global Navigation Satellite Systems (GNSS) and related applications. The fact that this phenomenon causes severe degradations only in equatorial and high latitude regions has led to very few contributions dealing with the fundamental scintillation mitigation problem, being of paramount importance in safety critical applications and advanced integrity receivers. The goal of this paper is twofold, first to bring together the most relevant contributions on GNSS receiver design under scintillation conditions, and then, to propose a new GNSS carrier tracking framework and scintillation mitigation methodology. Scintillation complex gain components are modeled as AR processes and embedded into the state-space formulation, providing the filter the capability to distinguish between dynamics and phase scintillation contributions. In addition, the actual need of robust solutions is solved by using an adaptive filtering approach and directly operating with the baseband received signal. Simulation results, using both synthetic and real scintillation data, are provided to support the theoretical discussion and to show the performance improvements of such new approach.

5 abstracts selected for the 2017 ION/IEEE PLANS conference

We have these abstracts accepted:

Anatomical Joint Constraint based INS/INS fusion for Indoor Position Estimation and Tracking“: Gerald LaMountain, Mohsen Nabian, M.Veysi Yildiz, Amirreza Farnoosh, Pau Closas, Sarah Ostadabbas, Deniz Erdogmus, Taskin Padir, Northeastern University, Velin Dimitrov.

First-Person Indoor Navigation via Vision-Inertial Data Fusion“: Amirreza Farnoosh, Mohsen Nabian, Pau Closas, Sarah Ostadabbas.

Determination of Pseudorange Error Models and Multipath Characterization under Signal-Degraded Scenarios“: Kasia Gibson, Daniel Medina, Ralf Ziebold, Pau Closas.

On-line Model Learning for Adaptive GNSS Ionospheric Scintillation Estimation and Mitigation“: Jordi Vilà-Valls, James T. Curran, Pau Closas, Carles Fernández-Prades, Javier Arribas.

Impact of Positioning Uncertainty on Eco-Approach and Departure of Connected and Automated Vehicles“: Nigel Williams, Guoyuan Wu, Pau Closas.

…time to get them done

Talk @ KRI

We participated in the event organized at the George J. Kostas Research Institute (KRI) for Homeland Security, Northeastern University. I presented our work on secure GNSS, anti-jamming, anti-spoofing, and enhanced localization to attendees from the Army Research Lab (ARL) and other industry representatives. Great networking and good contacts. ARL is doing very cool research!