Passive Detection of Low-Altitude Signal Sources Using an Improved Cross- Correlation Algorithm

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dc.contributor.author Cao, Conghui
dc.contributor.author Yang, Hua
dc.contributor.author Zhang, Hao
dc.contributor.author Wang, Yan
dc.contributor.author Gulliver, Thomas Aaron
dc.date.accessioned 2019-01-24T17:27:50Z
dc.date.available 2019-01-24T17:27:50Z
dc.date.copyright 2018 en_US
dc.date.issued 2018
dc.identifier.citation Cao, C., Yang, H., Zhang, H., Wang, Y. & Gulliver, T.A. (2018). Passive Detection of Low-Altitude Signal Sources Using an Improved Cross-Correlation Algorithm. Applied Sciences, 8(12), 2348. https://doi.org/10.3390/app8122348 en_US
dc.identifier.uri https://doi.org/10.3390/app8122348
dc.identifier.uri https://dspace.library.uvic.ca//handle/1828/10532
dc.description.abstract The passive detection of low-altitude signal sources is studied using an improved cross-correlation method in the time–frequency domain. A matching template is designed for signal cross-correlation, and a cross-correlation threshold is used to determine whether a signal source is present or not. An improved cross-correlation method is also proposed to estimate the direction of arrival and communication frequency of a signal source. Furthermore, the distance and signal-to-noise ratio are estimated using an energy detector. Outdoor data from a bridge in the Jimo District, Qingdao, and indoor data from a research laboratory are used for performance evaluation. The results obtained show that the proposed method can provide better passive detection of low-altitude signal sources compared to several well-known algorithms in the literature. In addition, this method is more suitable for long-distance detection. en_US
dc.description.sponsorship This work was supported by the National Natural Science Foundation of China (61871354, 6172780176, 61701462, 61727806, and 41527901), the Qingdao National Laboratory for Marine Science and Technology (2017ASKJ01), the Qingdao Science and Technology Plan (17-1-1-7-jch), the Nature Science Foundation of Shandong Province (ZR2017MD027), and the Fundamental Research Funds for the Central Universities (201713018). en_US
dc.language.iso en en_US
dc.publisher Applied Sciences en_US
dc.subject signal detection en_US
dc.subject low-altitude signal source en_US
dc.subject unmanned aerial vehicle (UAV) en_US
dc.subject cross-correlation en_US
dc.subject time–frequency analysis en_US
dc.title Passive Detection of Low-Altitude Signal Sources Using an Improved Cross- Correlation Algorithm en_US
dc.type Article en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US

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