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Influence of satellite geometry and differential correction on GPSlocation accuracy

机译:卫星几何形状和微分校正对GPS定位精度的影响

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The location accuracy of Global Positioning System (GPS) units depends on location type (3-dimensional, 3-D>2-dimensional, 2-D) and satellite geometry (indexed by horizontal dilution of precision, HDOP). To determine the best computation method for positions collected by CPS telemetry collars in hilly terrain, we used a stationary GPS collar that attempted to calculate a position every 10 minutes for 5 days, and we evaluated the relationship between horizontal and vertical location accuracy and HDOP (range of HDOP, 3-D=1.4 to 489.1, 2-D=1.4 to 4,891). The 50th and 95th percentiles of horizontal and vertical location error were related linearly to HDOP. Location error depended mainly on accuracy of the collar altitude estimate used to compute the position in 2-D. Most forced 2-D locations not differentially corrected were more accurate than 3-D locations when collar altitude error was less than or equal to 50 m. It was better to force the computation of 2-D positions from differentially corrected 3-D locations with HDOP>15 when the collar altitude error was less than or equal to 10 m. We also used data collected on 10 free-ranging moose (Alces alces) for 12 months to examine whether moose altitude could be estimated accurately using prior 3-D locations. Accuracy of moose altitude estimation was related inversely to the time elapsed since the first 3-D location used to make the estimate. When animal altitude is likely to vary greatly within small time periods, we suggest running the differential correction program twice for a single time period, using an HDOP cutoff of 20-25 in the first run and 10-12 in the second. All 3-D positions computed during the first processing of the data should be kept bur only the 2-D locations calculated in the second pass should be used because they were calculated using more accurate estimates of animal altitude. When applying this method to our data, only 9% of successful locations are discarded and we estimate that horizontal location error is <35 m 95% of the time.
机译:全球定位系统(GPS)单元的位置精度取决于位置类型(3维,3D> 2维,2维,2维)和卫星几何形状(由精度水平稀释,HDOP索引)。为了确定丘陵地形中CPS遥测项圈收集的位置的最佳计算方法,我们使用固定GPS项圈,尝试每10分钟计算一次位置,持续5天,然后评估水平和垂直位置精度与HDOP之间的关系( HDOP的范围,3-D = 1.4至489.1,2-D = 1.4至4,891)。水平和垂直位置误差的第50和第95个百分位数与HDOP线性相关。位置误差主要取决于用于计算二维位置的套环高度估计的精度。当衣领高度误差小于或等于50 m时,大多数未经差分校正的2维位置比3维位置更准确。当套环高度误差小于或等于10 m时,最好从HDOP> 15的差分校正的3-D位置强制计算2-D位置。我们还使用了在10个自由放养的驼鹿(Alces alces)上收集的数据,历时12个月,以检查是否可以使用先前的3D位置准确估算驼鹿的高度。驼鹿高度估计的准确性与自第一个3D位置进行估计以来所经过的时间成反比。如果动物的身高在很短的时间内可能会发生很大变化,我们建议在单个时间段内运行两次差分校正程序,第一次运行时将HDOP截止值设置为20-25,第二次运行时将HDOP截止值设置为10-12。应该保留在数据的第一次处理期间计算出的所有3-D位置,而仅应使用在第二遍处理中计算出的2-D位置,因为它们是使用更准确的动物海拔高度估算值来计算的。将这种方法应用于我们的数据时,只有9%的成功位置被丢弃,并且我们估计水平位置误差在95%的时间内小于35 m。

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