In this paper we study the use of the Channel State Information (CSI) as fingerprint inputs of a Convolutional Neural Network (CNN) for localization. We examine whether the CSI can be used as a distinct fingerprint corresponding to a single position by considering the inconsistencies with its raw phase that cause the CSI to be unreliable. We propose two methods to produce reliable fingerprints including the phase information. Furthermore, we examine the structure of the CNN and more specifically the impact of pooling on the positioning performance, and show that pooling over the subcarriers can be more beneficial than over the antennas.

翻译：在本文中,我们研究了将“海峡国家信息”作为“革命神经网络”(CNN)的指纹输入材料用于本地化的问题,通过考虑“海峡国家信息”与“海峡国家信息”的原始阶段不一致,导致“海峡国家信息”不可靠,我们研究“海峡国家信息”是否可以用作与“单一位置”相对应的独特指纹;我们提出两种方法来制作可靠的指纹,包括“阶段”信息;此外,我们研究CNN的结构,更具体地说,集合对定位性能的影响,并表明“子载体”的集合比天线更有利。