These researches establish the base to investigate NLOS error optimization algorithm.
这些研究为以后研究NLOS误差的优化算法奠定了基础。
Then it USES Residual Weighting Algorithm to the result of estimation in order to restrain NLOS error.
然后对位置估计结果使用残差加权算法进行NLOS误差抑制。
We made an intensive study aiming at location technique in NLOS environment and proposed two NLOS error mitigation schemes.
本文对非视距环境下的定位技术进行了深入研究，提出了两种非视距误差消除的方案。
Analyzing the NLOS error in detail, which has become a crucial factor to influence mobile user location precision in diversified cellular network types.
针对在各种类型的蜂窝网络中已经成为影响提高移动台定位精度的决定性因素—NLOS误差进行了详细的分析。
Moreover, this location method does not depend on a particular distribution of the NLOS error and does not need line-of-sight (LOS) or NLOS identification.
且该定位方法不依赖于特定的NLOS误差分布，也无需视距（LOS）和非视距识别。
The distance measurement errors include errors of measuring noise and non-line of sight, of which NLOS error is the main source of error in location estimation.
距离测量误差包含测量噪声和非视距误差两部分，其中非视距误差是位置估计的主要误差来源。
Simulation results show that the impact of NLOS error is reduced after using this algorithm and enhancing location precision. It can obtain better effect than original algorithm.
从仿真结果可以看出，采用了本算法之后可以有效的降低NLOS的影响，提高定位精度，取得比原算法在实际环境中更好的效果。
A key obstacle to high accuracy location is the Non Line of Sight (NLOS) transmission of signal in wireless sensor network node localization. NLOS error is the main source of location error.
在无线传感器网络定位中，节点精确定位面临的一个主要问题是信号的非视距传播，非视距误差是节点定位误差的主要来源。
Residual Weighting Algorithm to restrain much amount of NLOS error is proposed. Comparisions in the simulation show that this algorithm has better overall result to restrain much amount of NLOS error.
提出了一种抑制多个NLOS误差的残差加权算法，通过仿真对比证明了该算法对多个NLOS误差具有更好的整体抑制效果。
Residual Weighting Algorithm to restrain much amount of NLOS error is proposed. Comparisions in the simulation show that this algorithm has better overall result to restrain much amount of NLOS error.
提出了一种抑制多个NLOS误差的残差加权算法，通过仿真对比证明了该算法对多个NLOS误差具有更好的整体抑制效果。
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