基于RSS室内定位中极化敏感圆形阵列研究

针对当前DOA估计中基站布设复杂和阵元间距受限的问题,提出了一种极化敏感圆形阵列单基站定位方法.通过对圆形天线阵列布设进行分析,根据信道传播模型得到阵列接收信号,进而利用深度学习模型实现定位.在考虑电磁波极化特性的基础上,经过对圆形天线的数目以及基站的规模大小进行分析研究,最后给出一种比较理想的基站布设方式.仿真结果表...

Research on Polarization Sensitive Circular Array Based on RSS Indoor Positioning

In order to solve the problem that the base station layout is complex and the array element spacing is limited in the current DOA estimation,a polarization-sensitive circular array single base station positioning method is proposed.By analyzing the layout of the circular antenna array,the received array signals were obtained according to the channel propagation model,and then the deep learning model was used to realize the positioning.After considering the characteristics of electromagnetic wave polarization and analyzing the number of circular antennas and the size of the base station,an ideal base station layout method was given.The simulation results show that the circular array positioning model achieves more precise positioning,reduces the requirement of the array element spacing,and enhances the feasibility and practicability.