临近基站建议模型在基站位置校正中的应用

Application of Nearest Base Station Suggestion Method in Base-station Position's Correction

移动网络和智能终端的迅猛发展使得基于位置的服务LBS(Location-based Service)成为互联网发展的热点之一,因此基站位置的准确性成为至关重要的因素。针对位置错误或者无位置信息的基站,本文提出一种新的校正算法临近基站建议模型(Nearest Base Station Suggestion Method,NBSS)。首先,该算法在数据预处理和时间粒度上进行过滤,在提高数据质量的同时减少运算量;其次,根据时间连续性的特点,结合用户手机终端App上传的位置信息,获取某一动态时间内用户轨迹经过的基站序列;最后,参考这些基站的位置特点,给出错误基站或无位置信息的新增基站的建议位置。通过实地考察基站位置,将NBSS算法校正后的结果与真实值进行对比分析,实验结果表明,该算法时间复杂度较低,能够满足大多数无线应用的位置精度要求。

With the rapid development of the mobile networks and intelligent terminals,location-based service has become one of hot topics on the internet,therefore the accuracy of the base stations＇ position becomes a critical factor. For the wrong base stations or the unknown base stations,a new corrected algorithm-NBSS（ Nearest Base Station Suggestion Method） is proposed. Firstly,it mainly does a filter on the data preprocessing and timestamp. Secondly,according to the continuity feature of time,combining with the location information uploaded by the users＇ mobile terminals＇ App,the track of the base stations in a short dynamic time is gotten. Finally,referring to the position characteristics of the base stations,it could give the suggested value of the wrong base stations or the unknown ones,and obtain the true latitude and longitude of stations though field trips. After field tripping base stations,compared the true value with NBSS corrected one,the results show that the NBSS algorithm has low complexity and its positional accuracy meets the requirements of most wireless applications.