GPSOne精定位的最优MAR值迭代算法

MAR Value Optimization Iterative Algorithm for GPSOne Fine Positioning

在CDMA GPSOne定位环境下,影响定位成功率的2个关键指标Pn Lookup和Bs Lookup的环节包括核心网、无线侧分组网、业务平台、终端等,各个环节彼此衔接,任何环节出错均有可能引起定位结果偏差.针对原有精定位传统算法中的最大天线范围(MAR)值优化概率算法,提出了改进的MAR(NEW-MAR)值优化算法.该算法从统计分析角度切入,通过无线定位用户接入数据关联分析来优化MAR值,从而减少定位问题中人工分析挖掘过程的相关判断的工作量和失误率,并将该优化算法应用于GPSOne定位数据分析平台系统,进行智能解析基站历书(BSA)数据及指标预警.通过真实定位数据分析对比可以看出,该优化算法比传统精定位优化算法在提高Pn Lookup指标效率和减小优化时间周期上有较大的优势.投入实际运用后,大幅提高Pn Lookup成功率,确保用户GPSOne精定位精确性,较好地提升了用户定位感知的能力.

The success rate for two key indicators（Pn Lookup and Bs Lookup）in CDMA GPSOne technology are always influenced by a few of factors,such as core network,wireless packet network,service platform,and mobile terminal （MT）,etc.These factors affect each other,and any error in any factor will result in the deviation of user positioning.In this paper,an improved algorithm of NEW-MAR value is proposed which is based on the traditional probability of optimization algorithm for MAR value.By analyzing the data of the wireless positioning users,this algorithm can reduce the workload and error rate of positioning caused by manual analysis and mining.Furthermore,the proposed algorithm is employed in the GPSOne positioning data analysis platform to analyze the BSA data intelligently and to give the early warning.By comparing the results of positioning data getting from the new algorithm and the original one,we observe that the proposed algorithm works much better than that of the old one in increasing the efficiency of Pn Lookup and decreasing the time interval of the optimization period.By applying the proposed algorithm into CDMA2000 system,the success rates of Pn Lookup are increasing significantly which can guarantee the accuracy of user positioning and upgrade the ability of customers＇ sensibility of positioning as well.