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.