基于超宽带的联合定位算法研究  

Research on Algorithm of Joint Location Based on Ultra Wideband

作　　者：杨英杰[1] 张文龙[1] 胡义轩 

机构地区：[1]东北电力大学信息工程学院,吉林吉林132012

出　　处：《东北电力大学学报》2015年第1期83-87,共5页Journal of Northeast Electric Power University

摘　　要：为提高UWB室内多用户定位检测抗干扰能力,本文以停车场泊车定位检测应用为例,提出了一种能够根据信号干扰大小自动匹配的正交可变扩频因子(OVSF-TH)改进算法。在此基础上,为进一步提高定位精度,同时提出采用基于RSS的极大似然估计法与基于最小二乘法相结合的一种联合定位方法,保证了定位的可靠性与准确性。仿真结果表明,改进后的算法,在性能上优于传统2PPM-TH定位算法以及DS-UWB定位算法,因而同样适合于其他UWB室内的精确定位与应用。In parking-lot applications,in order to improve anti-interference ability of UWB indoor positioning detection with multiple users,the paper put forwards an improved algorithm of Orthogonal Variable Spread Fac-tor（ OVSF-TH） in which spread factor is automaticly matched with the size of interference. Meanwhile,to fur-ther improve the positioning accuracy,the paper also proposes a joint detection method,which combining with two traditional algorithms, i. e. maximum-likelihood estimation algorithms based on RSS and improved algorithms based on least-squares. Simulation results show that the positioning accuracy of the joint detection method is superior to traditional algorithm,so,it is also suitable for other UWB positioning applications.

关 键 词：UWB OVSF-TH 极大似然估计 最小二乘法 

分 类 号：TN914[电子电信—通信与信息系统]