Passive Detection of Low-Altitude Signal Sources Using an Improved Cross- Correlation Algorithm
Date
2018
Authors
Cao, Conghui
Yang, Hua
Zhang, Hao
Wang, Yan
Gulliver, Thomas Aaron
Journal Title
Journal ISSN
Volume Title
Publisher
Applied Sciences
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.
Description
Keywords
signal detection, low-altitude signal source, unmanned aerial vehicle (UAV), cross-correlation, time–frequency analysis
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