基于Monte Carlo的测距传感网络定位算法

摘要

针对现有蒙特卡罗定位存在的一些应用缺陷，提出一种基于ZigBee传感网测距的蒙特卡罗定位算法。介绍了改进算法的实现步骤，该方法在定位时获取多个外部信息，同时将定位样本历史信息应用到位置估计中，且在ZigBee室内测距的特点上加入了改进的高斯滤波算法并与均值滤波进行对比。测试结果表明，该算法较原有算法取得了明显的改进优势。%The Monte Carlo localization algorithm based on ZigBee sensor network ranging is proposed to improve Monte Carlo application defect. Introduce the implement steps of improved algorithm. The method acquired many exterior information when in location, then use the location sample history information to position estimation. Add improved Gaussian filter algorithm into ZigBee indoor ranging feature and compare it with mean value. The test results show that the method is significantly improved advantage.