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WLAN无线定位中NLOS误差排序与抑制的研究

提出在WLAN中使用TDOA定位方法的Chan算法对移动终端进行位置估计,然后对位置估计结果使用残差加权算法进行NLOS误差抑制。通过仿真  (本文共4页) 阅读全文>>

《中国通信》2019年12期
中国通信

An Improved Kalman Filter Positioning Method in NLOS Environment

In the precision positioning system, NLOS(Non Line of Sight) propagation and clock synchronization error caused by multiple base stations are the main reasons for reducing the reliability of communication and positioning accuracy. So, in the NLOS environment, it has an important role to eliminate the clock synchronization problem in the positioning system. In order to solve this problem, this paper proposes an improv...  (本文共16页) 阅读全文>>

《中国通信》2020年01期
中国通信

TOA-Based NLOS Error Mitigation Algorithm for 3D Indoor Localization

In the process of indoor localization, the existence of the non-line of sight(NLOS) error will greatly reduce the localization accuracy. To reduce the impact of this error, a 3 dimensional(3D) indoor localization algorithm named LMR(LLS-Minimum-Residual) is proposed in this paper. We first estimate the ...  (本文共10页) 阅读全文>>

《Chinese Journal of Electronics》2017年01期
Chinese Journal of Electronics

A Location Algorithm with Improved Accuracy Based on Correction of Noise High-Order Cumulant

The Non-line-of-sight(NLOS) error is the key issue for mobile user location in cellular wireless communication system. In this paper, we propose a robust and accurate approach usi...  (本文共6页) 阅读全文>>

《中国通信》2016年10期
中国通信

A Mobile Localization Strategy for Wireless Sensor Network in NLOS Conditions

The problem of mobile localization for wireless sensor network has attracted considerable attention in recent years. The localization accuracy will drastically grade in non-line of sight(NLOS) conditions. In this paper, we propose a mobile localizat...  (本文共10页) 阅读全文>>

《The Journal of China Universities of Posts and Telecommunications》2011年05期
The Journal of China Universities of Posts and Telecommunications

Improved positioning algorithm based on two step least square in NLOS environments

Non-line-of-sight(NLOS)propagation is a major source of error for accurate time-of-arrival(TOA)location estimation.The two-step least square(LS)method,which does not need any information about the distribution of the NLOS error,has been studied in related researches to provide efficient location estimation of the mobile terminal(MT).By observing the estimation of the error covariance matrix in the two-step LS method,...  (本文共6页) 阅读全文>>