Android平台中无线定位的多次逆推模型

Multiple Reverse Deduction Model for Wireless Location on the Android Platform

目的研究适用于资源受限的条件下的无线定位技术，建立基于Android终端的无线定位多次逆推模型，使系统具有较高的定位精度和较强的通用性．方法采用多次逆推模型进行多次定位，用终端的位移和方位角推导测试点位置坐标，综合多次定位结果推算测试点的位置坐标．结果在真实手机平台上实现了多次逆推模型，测试结果表明逆推次数为3～20次时，比常规一次定位精度提高20％-40％，验证了方案的可行性．结论采用多次逆推模型能够有效提高移动终端定位精度，同时没有增加移动终端的计算代价与资源消耗．

This paper proposed a method that improves location precision under constraints of resources. A new kind of wireless location model-Multiple Reverse Deduction Model based on the Android terminals was built for higher location precision and good commonality of the system. Using this model, some locations were defined with many times. Based on the results of positioning, test point coordinates were calculated. The results show that the terminal positioning precision can be improved effectively when the reverse value is 3 -20 times, the precision is 20% - 40% higher than that of conventional one-positioning. It is indicated that using multiple reverse deduction model can effectively improve the mobile terminal location precision without increase of cost computation and resource for mobile terminals.