摘要
多站定位系统中,测距定位是一种常用手段,但是由于各种确定的和偶发的因素影响,使得测距数据产生误差,影响定位精度.本文提出了一种基于优胜劣汰理念的定位算法,结合最小二乘法准则,通过循环迭代,剔除明显异常的测距数据后,再对目标点进行定位.仿真实验表明,该方法可有效地提高定位精度.
In the localization system including mass anchor nodes, distance related measures are universal technique, but the distance is always contaminated due to determinate and incidental factors and the localization precision is affected. This paper proposed a positioning algorithm with the ＂survival of the fittest＂ methoed, which combined with the least squares, eliminated the obviously abnormal data through iteration, and then located the objective. Simulated experiment indicated that this method effectively improved the localization precision.
出处
《华中师范大学学报（自然科学版）》
CAS
CSCD
2008年第3期381-384,共4页
Journal of Central China Normal University：Natural Sciences
基金
国家自然科学基金项目(10474027)
关键词
测距定位
优胜劣汰
最小二乘法
定位精度
range based localization
the survival of the fittest
least squares
localization precision
