Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target

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dc.contributor.authorLiu, Mingqianen
dc.contributor.authorLi, Kunmingen
dc.contributor.authorSong, Haoen
dc.contributor.authorChen, Yunfeien
dc.contributor.authorGao, Xiuhuien
dc.contributor.authorGong, Fengkuien
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2020-04-15T14:04:28Zen
dc.date.available2020-04-15T14:04:28Zen
dc.date.issued2020-04-03en
dc.date.updated2020-04-15T13:18:24Zen
dc.description.abstractPassive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection. As a result, a satellite signal receiver may receive signals from multiple heterogeneous satellites, causing difficult in echo signal detection. In this paper, a passive moving aerial target detection method leveraging signals from multiple heterogeneous satellites is proposed. In the proposed method, a plurality of direct wave signals is separated in a reference channel first. Then, an adaptive filter with normalized least-mean-square (NLMS) is adopted to suppress direct-path interference (DPI) and multi-path interference (MPI) in a surveillance channel. Next, the maximum values of the cross ambiguity function (CAF) and the fourth order cyclic cumulants cross ambiguity function (FOCCCAF) correspond into each separated direct wave signal and echo signal will be utilized as the detection statistic of each distributed sensor. Finally, final detection probabilities are calculated by decision fusion based on results from distributed sensors. To evaluate the performance of the proposed method, extensive simulation studies are conducted. The corresponding simulation results show that the proposed fusion detection method can significantly improve the reliability of moving aerial target detection using multiple heterogeneous satellites. Moveover, we also show that the proposed detection method is able to significantly improve the detection performance by using multiple collaborative heterogeneous satellites.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationLiu, M.; Li, K.; Song, H.; Chen, Y.; Gao, X.; Gong, F. Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target. Remote Sens. 2020, 12, 1150.en
dc.identifier.doihttps://doi.org/10.3390/rs12071150en
dc.identifier.urihttp://hdl.handle.net/10919/97624en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectdecision fusionen
dc.subjectdistributed sensoren
dc.subjectfourth order cyclic cumulants cross ambiguity functionen
dc.subjectheterogeneous satelliteen
dc.subjectpassive detectionen
dc.titleUsing Heterogeneous Satellites for Passive Detection of Moving Aerial Targeten
dc.title.serialRemote Sensingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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