Energy Detection Performance with Massive Arrays for Personal Radars Applications

Abstract : The idea to adopt massive arrays for personal radars applications is facing a rapid growth, thanks to the high scanning resolution achievable with the large number of antennas employed. In fact, such multi-antenna systems enable the possibility to detect and localize surrounding objects through an accurate beamforming procedure. In this paper we show a classical energy-detection approach for target ranging and localization, where the threshold is designed according to the receiver noise only, since an ideal laser-beam antenna is considered. Successively, we show the ambiguities that could arise when the presence of side-lobes cannot be neglected (e.g., when considering real massive arrays instead of ideal pencil-beam like radiation patterns) and we propose a set of guidelines that can be followed from a system design point-of-view to overcome this issue.
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Communication dans un congrès
Dominique Noguet; Klaus Moessner; Jacques Palicot. International Conference on Cognitive Radio Oriented Wireless Networks CrownCom 2016, May 2016, grenoble, France. Springer International Publishing, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 172) 172, pp.630-641, 2016, Cognitive Radio Oriented Wireless Networks, 11th International Conference, CROWNCOM 2016. 〈10.1007/978-3-319-40352-6_52〉
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Francesco Guidi, Anna Guerra, Antonio Clemente, Davide Dardari, Raffaele D'Errico. Energy Detection Performance with Massive Arrays for Personal Radars Applications. Dominique Noguet; Klaus Moessner; Jacques Palicot. International Conference on Cognitive Radio Oriented Wireless Networks CrownCom 2016, May 2016, grenoble, France. Springer International Publishing, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 172) 172, pp.630-641, 2016, Cognitive Radio Oriented Wireless Networks, 11th International Conference, CROWNCOM 2016. 〈10.1007/978-3-319-40352-6_52〉. 〈cea-01559311〉

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