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Title: Development of Code and Phase Tracking Algorithms for GNSS signals in low C/N and high dynamics scenarios
Tutor: Delli Priscoli, Francesco
Keywords: Nonlinear estimation
Unscented Kalman Filter
Optimal control
GNSS software receiver
Issue Date: Apr-2011
Abstract: Global Navigation Satellite Systems (GNSS) receivers working in high dynamic situations usually exhibit poor tracking performance, especially in attenuated signals scenarios. Classic Phase Lock Loops (PLL) are suboptimal in compensating effects of noise and dynamics simultaneously. One solution consists in process and noise modeling with an iterative estimation methodology like the Kalman filter and its nonlinear implementations. Purpose of this study is to compare the performance of the Extended Kalman Filter (EKF) approach to the more innovative Unscented Kalman filter (UKF), through the implementation of a complete multi-constellation software receiver (RF front end, acquisition, tracking, navigation message decoding and position computation sw modules). A feedback strategy will be described as well as simulation and real time results. Preliminary results show good performance of the new approach if compared to the classic EKF solution.
Research interests: Nonlinear estimation, optimization, optimal control, GNSS software receivers
Skills short description: He holds 11 years of experience in project management of national and European (EC and ESA) projects. He also has an extensive experience in project development where he usually coordinates technical teams. He has a strong know how in telecommunications, system engineering and algorithm development.
Personal skills keywords: Networking
Problem solving
Creativity and innovation

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