An improved localization algorithm for non-line-of-sight environment

被引：0

作者：

Cui, Wei ^{[1
]}

Wu, Chengdong ^{[1
]}

Zhang, Yunzhou ^{[1
]}

Cheng, Long ^{[1
]}

Zhang, Xiaocheng ^{[1
]}

机构：

[1] College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

来源：

Journal of Computational Information Systems | 2012年 / 8卷 / 15期

关键词：

Computational complexity - Errors - Mobile telecommunication systems - Constrained optimization - Least squares approximations - Particle swarm optimization (PSO);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Reliable location estimation in wireless sensor network is essential and fundamental. The localization performance can be degraded considerably due to the existence of non-line-of-sight (NLOS) channel conditions between the sensor nodes. In this paper, a new algorithm is proposed based on analysis of existing NLOS error mitigation techniques. The new method first applies the Particle Swarm Optimizati- on (PSO) for optimizing the constrained total least squares (CLS). Then a low complexity algorithm based on Rwgh is used. The proposed method needs less computation amount than conventional residual weighting algorithm. Taking advantage of the Particle Swarm Optimization (PSO)-based constrained total least-squares estimator, we are able to reduce the RMSE of the localization estimate by rejecting the measurements with large errors. Simulation results show that our estimator has robust performance. © 2012 Binary Information Press.

引用

页码：6365 / 6372