Lee Kyunghyun, Kim Sangkyeum, You Kwanho
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.
Sensors (Basel). 2021 Jan 2;21(1):257. doi: 10.3390/s21010257.
Among various localization methods, a localization method that uses a radio frequency signal-based wireless sensor network has been widely applied due to its robustness against noise factors and few limits on installation location. In this paper, we focus on an iterative localization scheme for a mobile with a limited number of time difference of arrival (TDOA) and angle of arrival (AOA) data measured from base stations. To acquire the optimal location of a mobile, we propose a recursive solution for localization using an iteratively reweighted-recursive least squares (IR-RLS) algorithm. The proposed IR-RLS scheme can obtain the optimal solution with a fast computational speed when additional TDOA and/or AOA data is measured from base stations. Moreover, while the number of measured TDOA/AOA data was limited, the proposed IR-RLS scheme could obtain the precise location of a mobile. The performance of the proposed IR-RLS method is confirmed through some simulation results.
在各种定位方法中，一种基于射频信号的无线传感器网络定位方法因其对噪声因素的鲁棒性和对安装位置的限制较少而得到广泛应用。在本文中，我们专注于一种针对移动设备的迭代定位方案，该移动设备从基站测量的到达时间差（TDOA）和到达角度（AOA）数据数量有限。为了获取移动设备的最优位置，我们提出了一种使用迭代重加权递归最小二乘（IR-RLS）算法的递归定位解决方案。当从基站测量到额外的TDOA和/或AOA数据时，所提出的IR-RLS方案能够以快速的计算速度获得最优解。此外，当测量的TDOA/AOA数据数量有限时，所提出的IR-RLS方案能够获得移动设备的精确位置。通过一些仿真结果证实了所提出的IR-RLS方法的性能。
