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Dive into the research topics where Alessio De Angelis is active.

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Featured researches published by Alessio De Angelis.


IEEE Transactions on Instrumentation and Measurement | 2015

An Indoor AC Magnetic Positioning System

Guido De Angelis; Valter Pasku; Alessio De Angelis; Marco Dionigi; Mauro Mongiardo; Antonio Moschitta; Paolo Carbone

This paper describes the design and realization of a magnetic indoor positioning system. The system is entirely realized using off-the-shelf components and is based on inductive coupling between resonating coils. Both system-level architecture and realization details are described along with experimental results. The realized system exhibits a maximum positioning error of <;10 cm in an indoor environment over a 3 × 3 m2 area. Extensive experiments in larger areas, in nonline-of-sight conditions, and in unfavorable geometric configurations, show submeter accuracy, thus validating the robustness of the system with respect to other existing solutions.


instrumentation and measurement technology conference | 2013

Characterization of a Flexible UWB Sensor for Indoor Localization

Alessio De Angelis; Satyam Dwivedi; Peter Händel

This paper presents research to develop an ultrawideband ranging sensor for personnel indoor localization based on the measurement of the pulse round-trip time. An approach combining flexibility, a high measurement update rate, and asynchronous operation with digital processing capability has been employed in the design of the sensor. The principle of operation, the architecture of the realized sensor, and the experimental setup are described. Finally, the results of a ranging calibration and validation test are presented and discussed. In the validation procedure, a root-mean-square error of 29 cm and a maximum absolute error of 81 cm with an operational range of approximately 10 m were observed.


IEEE Transactions on Instrumentation and Measurement | 2015

Design and Characterization of a Portable Ultrasonic Indoor 3-D Positioning System

Alessio De Angelis; Antonio Moschitta; Paolo Carbone; Massimo Calderini; Stefano Neri; Renato Borgna; Manuelo Peppucci

In this paper, an ultrasonic positioning system is presented and characterized, based on the usage of a portable grid of beacons and of a few fixed anchors. Since the beacon grid can be moved to guarantee line-of-sight transmissions, the proposed strategy is potentially suitable for accurate positioning of a mobile object in an environment with a complex geometry. The system was tested experimentally, exhibiting a subcentimeter positioning accuracy in a range up to 4 m.


IEEE Transactions on Industrial Electronics | 2016

A Positioning System Based on Low-Frequency Magnetic Fields

Valter Pasku; Alessio De Angelis; Marco Dionigi; Guido De Angelis; Antonio Moschitta; Paolo Carbone

This paper describes the design and the realization of a low-frequency ac magnetic-field-based indoor positioning system (PS). The system operation is based on the principle of inductive coupling between wire loop antennas. Specifically, due to the characteristics of the ac artificially generated magnetic fields, the relation between the induced voltage and the distance is modeled with a linear behavior in a bilogarithmic scale when a configuration with coplanar, thus equally oriented, antennas is used. In this case, the distance between a transmitting antenna and a receiving one is estimated using measurements of the induced voltage in the latter. For a high operational range, the system makes use of resonant antennas tuned at the same nominal resonant frequency. The quality factors act as antenna gain increasing the amplitude of the induced voltage. The low-operating frequency is the key factor for improving robustness against nonline-of-sight (NLOS) conditions and environment influences with respect to other existing solutions. The realized prototype, which is implemented using off-the-shelf components, exhibits an average and maximum positioning error, respectively, lower than 0.3 and 0.9 m in an indoor environment over a large area of 15 m × 12 m in NLOS conditions. Similar performance is obtained in an outdoor environment over an area of 30 m × 14 m. Furthermore, the system does not require any type of synchronization between the nodes and can accommodate an arbitrary number of users without additional infrastructure.


international conference on indoor positioning and indoor navigation | 2012

A constraint approach for UWB and PDR fusion

Francisco Zampella; Alessio De Angelis; Isaac Skog; Dave Zachariah; Antonio Jiménez

Pedestrian Dead-Reckoning (PDR) and Radio Frequency (RF) ranging/positioning are complementary techniques for position estimation but they usually locate different points in the body (RF in the head/hand and PDR in the foot). We propose to fuse the information from both navigation points using a constraint filter with an upper bound in the distance between the estimated positions of both sensors.


IEEE Journal on Selected Areas in Communications | 2015

Joint Ranging and Clock Parameter Estimation by Wireless Round Trip Time Measurements

Satyam Dwivedi; Alessio De Angelis; Dave Zachariah; Peter Händel

In this paper, we develop a new technique for estimating fine clock errors and range between two nodes simultaneously by two-way time-of-arrival measurements using impulse-radio ultrawideband signals. Estimators for clock parameters and the range are proposed, which are robust with respect to outliers. They are analyzed numerically and by means of experimental measurement campaigns. The technique and derived estimators achieve accuracies below 1 Hz for frequency estimation, below 1 ns for phase estimation, and 20 cm for range estimation, at a 4-m distance using 100-MHz clocks at both nodes. Therefore, we show that the proposed joint approach is practical and can simultaneously provide clock synchronization and positioning in an experimental system.


EURASIP Journal on Advances in Signal Processing | 2014

Schedule-based sequential localization in asynchronous wireless networks

Dave Zachariah; Alessio De Angelis; Satyam Dwivedi; Peter Händel

In this paper, we consider the schedule-based network localization concept, which does not require synchronization among nodes and does not involve communication overhead. The concept makes use of a common transmission sequence, which enables each node to perform self-localization and to localize the entire network, based on noisy propagation-time measurements. We formulate the schedule-based localization problem as an estimation problem in a Bayesian framework. This provides robustness with respect to uncertainty in such system parameters as anchor locations and timing devices. Moreover, we derive a sequential approximate maximum a posteriori (AMAP) estimator. The estimator is fully decentralized and copes with varying noise levels. By studying the fundamental constraints given by the considered measurement model, we provide a system design methodology which enables a scalable solution. Finally, we evaluate the performance of the proposed AMAP estimator by numerical simulations emulating an impulse-radio ultra-wideband (IR-UWB) wireless network.


international conference on ultra-wideband | 2012

Scheduled UWB pulse transmissions for cooperative localization

Satyam Dwivedi; Alessio De Angelis; Peter Händel

In this paper we have proposed a technique for cooperative localization where localization is done in distributive fashion without using any additional broadcast by nodes. The method relies on a fixed scheduled ultra-wideband (UWB) pulse transmissions by nodes in a predetermined way. The advantages of the proposed method is simpler hardware, comparatively less pulse transmission in the system hence energy efficient and faster update rate.


international conference on localization and gnss | 2013

Ranging results using a UWB platform in an indoor environment

Alessio De Angelis; Satyam Dwivedi; Peter Händel; Antonio Moschitta; Paolo Carbone

This paper presents an impulse-radio UWB experimental platform for ranging and positioning in GNSS-challenged environments. The platform is based on the two-way time-of-arrival principle of operation, which reduces architecture complexity and relaxes the synchronization requirements with respect to time-of-arrival or time-difference-of-arrival solutions. The modular architecture of the platform is described together with the design and features of its main components, namely the 5.6-GHz RF front end and the baseband module for measurement and processing. A set of experimental results obtained using the realized platform in an indoor office environment is presented and discussed. The platform provides a maximum range of about 30 m in line-of-sight conditions with an RMSE of the order of 40 cm.


instrumentation and measurement technology conference | 2016

A magnetic ranging aided dead-reckoning indoor positioning system for pedestrian applications

Valter Pasku; Alessio De Angelis; Antonio Moschitta; Paolo Carbone; John-Olof Nilsson; Satyam Dwivedi; Peter Händel

This paper investigates the applicability of a developed Magnetic Positioning System (MPS) as a support for a dead-reckoning inertial navigation system (DR-INS) for pedestrian applications. The integrated system combines the complementary properties of the separate systems, operating over long periods of time and in cluttered indoor areas with partial nonline-of-sight conditions. The obtained results show that the proposed approach can effectively improve the coverage area of the MPS and the operation time with bounded errors of the DR-INS. In particular, a solution that provides bounded position errors of 1–2 m over significantly long periods of time up to 45 min, in realistic indoor environments, is demonstrated. Moreover, system applicability is also shown in those scenarios where arbitrary orientations of the MPS mobile node are considered and an MPS position estimate is not available due to less than three distance measurements.

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Peter Händel

Royal Institute of Technology

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Satyam Dwivedi

Royal Institute of Technology

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Isaac Skog

Royal Institute of Technology

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John-Olof Nilsson

Royal Institute of Technology

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