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定位技术是无线异构网络的关键技术之一,目标跟踪、辅助路由、网络管理等诸多网络功能的实现都依赖于对目标位置的准确定位。本文研究单基站WCDMA与WLAN构成的异构网络中节点定位问题,通过引入相似度确定初始种群,提出一种基于遗传算法的无线异构网络定位方法。算法利用WCDMA基站存在视距路线时的高精度TOA测距值,并采用了相似度的分析手段,对遗传算法中的初始群体进行选择。仿真结果表明,由于综合了两个网络的测距信息,且同时采用TOA测距值和相似度来确定初始群体,算法定位精度较高。
Positioning technology is one of the key technologies of wireless heterogeneous networks. The implementation of many network functions such as target tracking, auxiliary routing and network management depend on the accurate positioning of the target location. In this paper, we study the location of nodes in a heterogeneous network composed of single base station (WCDMA) and WLAN. By introducing similarity to determine the initial population, a novel wireless heterogeneous network location method based on genetic algorithm is proposed. The algorithm uses the high precision TOA ranging value when the line of sight exists in WCDMA base stations and adopts the similarity analysis method to select the initial population in the genetic algorithm. The simulation results show that the proposed algorithm has higher positioning accuracy because of the combination of the ranging information of the two networks and the simultaneous determination of the initial population by TOA distance measurement and similarity.