dc.contributor.author | Cheng, Xu | |
dc.contributor.author | Ciuonzo, Domenico | |
dc.contributor.author | Salvo Rossi, Pierluigi | |
dc.contributor.author | Wang, Xiaodong | |
dc.contributor.author | Wang, Wei | |
dc.date.accessioned | 2022-11-16T10:26:24Z | |
dc.date.available | 2022-11-16T10:26:24Z | |
dc.date.created | 2022-01-13T13:30:21Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | IEEE Transactions on Signal and Information Processing over Networks. 2021, 7 740-753. | en_US |
dc.identifier.issn | 2373-7778 | |
dc.identifier.uri | https://hdl.handle.net/11250/3032125 | |
dc.description.abstract | We consider decentralized detection (DD) of an uncooperative moving target via wireless sensor networks (WSNs), measured in zero-mean unimodal noise. To address energy and bandwidth limitations, the sensors use multi-level quantizers. The encoded bits are then reported to a fusion center (FC) via binary symmetric channels. Herein, we propose a generalized Rao (G-Rao) test as a simpler alternative to the generalized likelihood ratio test (GLRT). Then, at the FC, a truncated one-sided sequential (TOS) test rule is considered in addition to the fixed-sample-size (FSS) manner. Further, the asymptotic performance of a trajectory-clairvoyant (multi-bit) Rao test is leveraged to develop an offline and per-sensor quantizer design. Detection gain measures are also introduced to assess resolution improvements. Simulations show the appeal of G-Rao test with respect to the GLRT, and the gain in detection by using multiple bits for quantization, as well as the advantage of the sequential detection approach. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.title | Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target through a Generalized Rao Test | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.source.pagenumber | 740-753 | en_US |
dc.source.volume | 7 | en_US |
dc.source.journal | IEEE Transactions on Signal and Information Processing over Networks | en_US |
dc.identifier.doi | 10.1109/TSIPN.2021.3126930 | |
dc.identifier.cristin | 1980454 | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |