Wireless sensor network high-precision positioning method and system and electronic equipment

The invention discloses a wireless sensor network high-precision positioning method and system and electronic equipment. The method provided by the invention comprises the following steps: establishing a training sample; training a kernel function extreme learning machine by using the training sample; and taking the hop count between the unknown nodes as a test sample to obtain the positions of the unknown nodes. According to the invention, node positioning is carried out by using the kernel function extreme learning machine algorithm, the position of an unknown node can be directly obtained through the trained single-hidden-layer feedforward neural network, the complex positioning process of other algorithms is avoided, the positioning time of the algorithm is saved, and the method is more suitable for practical application. 本发明公开了一种无线传感器网络高精度定位方法、系统及电子设备。本发明所提供的方法包括：建立训练样本；利用训练样本对核函数极限学习机进行训练；将未知节点间的跳数作为测试样本，得到未知节点的位置。本发明利用核函数极限学习机算法进行节点定位，能够通过训练后的单隐含层前馈神经网络直接得到未知节点的位置，避免其他算法定位的复杂过程，节省算法的定位时间，更适合实际应用。