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一种削弱NLOS影响的定位算法

A location algorithm to reduce the effects of NLOS
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摘要 通过获取坐标已知的基站间TOA值由此得到它们之间的伪距,与其真实距离做差再取平均值的方法,得到在NLOS误差改正值。具体定位时,先利用NLOS误差改正值对TOA观测值进行改正,然后采用附有约束条件的加权最小二乘法(CLW S)得到最终的定位结果。仿真结果表明,该方法可有效地削弱NLOS误差对定位精度的影响。 In this paper, we calculated the pseudo-distance among the base stations with TOA values, then used the true distance minus the pseudo-distance and took the average of the differences to get NLOS error means. For specific location, the NLOS error corrected values were calculated to obtain the correct TOA observations firstly. Secondly, the constrained weighted least squares (CLWS) algorithm was used to get the final location results. The simulation results showed that the NLOS error could be effectively weakened by applying this method.
出处 《测绘科学》 CSCD 北大核心 2010年第2期30-31,共2页 Science of Surveying and Mapping
关键词 无线定位 非视距传播 到达时间 最小二乘 方差 wireless location NLOS TOA least square variance
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参考文献8

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