Through Wall Human Detection Based on Support Tensor Machines
Through wall human detection based on ultra-wideband (UWB) radar is a challenging task due to the complex environment. In this case, it is not enough for the research sample that is only with high cost. In this paper, we propose a novel algorithm named support tensor machines (STMs). It avoids the overfitting in pattern recognition. We conduct two groups of experiments on high-dimensional and small-sampling data. The experimental results prove that our method not only achieves the desired results, but also saves plenty of computation time.
KeywordsSupport tensor machines (STMs) Through wall human detection Alternating projection algorithm High-dimensional and small-sampling data
This paper is supported by Natural Youth Science Foundation of China (61501326, 61401310), the National Natural Science Foundation of China (61731006) and Natural Science Foundation of China (61271411). It is also supported by Tianjin Research Program of Application Foundation and Advanced Technology (15JCZDJC31500), and Tianjin Science Foundation (16JCYBJC16500). This work was also supported by the Tianjin Higher Education Creative Team Funds Program.
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