基于多目标自适应DE算法在UWB中的应用研究  

Research on the Application of Multi-objective Adaptive DE Algorithm in UWB

作　　者：尤谍 陈勇[1] 张修伟 段刚鹏 YOU Die;CHEN Yong;ZHANG Xiuwei;DUAN Gangpeng(College of Computer and Information Science,Chongqing Normal University,Chongqing 401331,China)

机构地区：[1]重庆师范大学,计算机与信息科学学院,重庆401331

出　　处：《微型电脑应用》2023年第9期54-56,67,共4页Microcomputer Applications

基　　金：重庆师范大学校级研究生科研创新项目(YKC21056)。

摘　　要：在室内定位的应用中,超宽带(UWB)技术可以实现厘米级的定位,并且具有良好的抗多径干扰和衰弱的性能,具有较强的穿透能力。但实际上室内环境多变,UWB信号极易被遮挡,即使UWB技术具有穿透能力,在较强干扰时基本无法完成室内定位,因此提出一种多目标自适应差分室内UWB精确位置标定方法。利用改进后的自适应差分进化算法和UWB方法结合实现精确定位。实验表明,此方法能有效提高定位精度,减少NLOS误差。In the application of indoor positioning,ultra-wideband(UWB)technology can achieve centimeter-level positioning,and has good anti-multipath interference,weakening performance and strong penetration ability.However,in fact,the indoor environment is changeable,and UWB signals are easily blocked.Even if UWB technology has the ability to penetrate,it is basically impossible to complete indoor positioning under strong interference.Therefore,a multi-target adaptive differential indoor UWB accurate position calibration method is proposed.The combination of the improved adaptive differential evolution algorithm and the UWB method is used to achieve precise positioning.The experiments show that this method can effectively improve the positioning accuracy and reduce the NLOS error.

关 键 词：UWB 差分进化算法 室内环境适应 精确定位 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]