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Erschienen in:
2020 | OriginalPaper | Buchkapitel
Through Wall Human Detection Based on Support Tensor Machines
verfasst von : Li Zhang, Wei Wang, Yu Jiang, Dan Wang, Min Zhang
Erschienen in: Communications, Signal Processing, and Systems
Verlag: Springer Singapore
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Abstract
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.