Fabrizio Sellone

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In this paper, a novel online mutual coupling compensation algorithm especially tailored to uniform and linear arrays is presented. It is conceived to simultaneously compensate for mutual coupling and estimate the direction-of-arrivals (DOAs) of signals impinging on the array since the estimated calibration matrix can be embedded within any classical(More)
Nowadays, wireless position location of multiple sources attracts considerable interest, not only for military, lawenforcement, and public safety applications, but also in the field of intelligent transportation systems and location-specific commercial services. In this paper, we present a complete, autonomous, and movable-on-demand localization system. It(More)
This paper proposes a novel iterative algorithm to compensate for mutual coupling in uniform and linear arrays. It is designed with the aim of simultaneously compensating for mutual coupling and estimating the DOAs of impinging signals on the array. An iterative alternating minimization technique based on closed form solutions is performed to estimate the(More)
Sensor nodes are small-size, low-cost embedded systems capable of local processing and RF communication. In a sensor network, nodes need to organize their operations to perform distributed sensing tasks, and need therefore to be time synchronized to a common reference. In this paper we present a time-synchronization approach for wireless sensor(More)
The innovative IEEE 802.11g appears like a promising standard in the future. Interference, fading and coexistence issues, that can threaten its performance, are efficiently counteracted by smart antennas. This paper proposes a novel distributed global joint beamforming algorithm especially tailored for IEEE 802.11g-compliant wireless local area networks,(More)