Research Article
Energy Detection Performance with Massive Arrays for Personal Radars Applications
@INPROCEEDINGS{10.1007/978-3-319-40352-6_52, author={Francesco Guidi and Anna Guerra and Antonio Clemente and Davide Dardari and Raffaele D’Errico}, title={Energy Detection Performance with Massive Arrays for Personal Radars Applications}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={Massive arrays Personal radar Target detection Side-lobes}, doi={10.1007/978-3-319-40352-6_52} }- Francesco Guidi
Anna Guerra
Antonio Clemente
Davide Dardari
Raffaele D’Errico
Year: 2016
Energy Detection Performance with Massive Arrays for Personal Radars Applications
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_52
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.
