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Localization of targets by means of radio signals has been widely investigated in the last decade. In this framework, the main efforts have been devoted to the development of ad-hoc systems, requiring each target to be equipped with a radio transmitting device, requiring its active collaboration in the localization process. However, when dealing with people, the need of wearable active devices limits the applicability of wireless tracking systems, expecially when in the case of highly non-cooperative subjects, such as intruders or housebreakers. In similar scenarios, intrusion detection and tracking inside a surveilled area can't be always achieved by means of classical CCTV or infrared trip-wire based systems, because those techniques will eventually fail in the presence of enviromental obstacles and barriers such as darkness, walls, dense smoke, and so on. One of the principal advantages of passive localization by means of wireless signals is represented by the ability of radio waves to easily penetrate a great variety of obstacles, allowing wider coverage at lower costs, and enabling the exploitation of pre-existing infrastructures, without the need of ad-hoc hardware. In fact, connections among wireless devices sharing information and services can be exploited to detect, classify and communicate rapidly and safely any possible threat represented by presence and movement of unknown targets, enabling a pervasive and increased level of surveillance for people and property protection.
Homeland security, surveillance, property protection



Real-time position and trajectory estimation


Home Surveillance
ELEDIA Research Center is investigating innovative procedures for localization and tracking of non-collaborative passive targets measuring only the strength of the RF signals transmitted inside a wireless infrastructure, used to sense the surrounding environment. The persons lying and moving within the monitored area interact with the electromagnetic waves and these perturbations are processed by a suitable inversion strategy to determine the equivalent source, able to model the presence and the position of potential intruders. A customized learning-by-examples (LBE) strategy is exploited in order to build a security system satisfying key-requirements such as flexibility and ability of real-time detection and tracking. This latter feature is achieved by means of computationally effective processing of the electromagnetic perturbations generated by non-cooperative targets moving throughout the areas where wireless infrastructures exist.


The Basic Idea


Probability Map of Target Position

Keywords: Intrusion detection, Surveillance, Homeland security

Additional Material

WaLK Project

See Also
  • F. Viani, M. Donelli, M. Salucci, P. Rocca, A. Massa, "Opportunistic exploitation of wireless infrastructures for homeland security", IEEE International Symposium on Antennas and Propagation (APSURSI), 2011.
  • F. Viani, L. Lizzi, P. Rocca, M. Benedetti, M. Donelli, A. Massa, "Object tracking through RSSI measurements in wireless sensor networks", IEEE Electronic Letters, vol. 44, no. 10, pp. 653-654, May 2008.
  • F. Viani, P. Rocca, M. Benedetti, G. Oliveri, A.Massa, "Electromagnetic passive localization and tracking of moving targets in a WSN-infrastructured environment"
  • F. Viani, M. Martinelli, L. Ioriatti, L. Lizzi, G. Oliveri, P. Rocca, A. Massa, "Real-time indoor localization and tracking of passive targets by means of wireless sensor networks", Antennas and propagation Society International Symposium, 2009.