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Efficient Kernel Based 3-D Source Localization via Tensor Completion
2019
KSII Transactions on Internet and Information Systems
Source localization in three-dimensional (3-D) wireless sensor networks (WSNs) is becoming a major research focus. Due to the complicated air-ground environments in 3-D positioning, many of the traditional localization methods, such as received signal strength (RSS) may have relatively poor accuracy performance. Benefit from prior learning mechanisms, fingerprinting-based localization methods are less sensitive to complex conditions and can provide relatively accurate localization performance.
doi:10.3837/tiis.2019.01.012
fatcat:gcggr3pg25hkhfvbivguypzsce