基于扩展集员估计的气体源定位方法

提出一种基于扩展集员滤波框架的室内气体源分布式定位方法。相对于基于随机模型的统计估计方法(扩展卡尔曼滤波和无迹卡尔曼滤波),此方法只需要知道未知噪声的边界,不考虑噪声的随机性。利用静态湍流模型迭代计算定位误差边界,将位置状态真实值有效地包含在估计范围内,从而能达到的定位可信度。同时引入最小二乘法进行初步定位,以克服扩展集员滤波的初始点选取问题。最后通过基于无线电子鼻的室内定位仿真实验,证明算法的可行性和有效性。

Gas source location method based on extended set estimator

This paper presents a distributed location method for indoor gas source based on extended set-membership filtering. Compared with the statistical estimation method based on stochastic model (extened Kalman filter and unscented Kalman filter), this kind of method only needs to know the boundary of the unknown noise, regardless of the randomness of the noise. The static turbulence model is utilized to calculate iteratively the positioning error boundary, and the actual value of the position state is effectively included in the estimation range, so that the positioning credibility can be achieved. Meanwhile, the least squares method is introduced to carry out the initial positioning to overcome the problem of initial point selection of the extended set membership filtering. Finally, indoor positioning simulation experiment based on the wireless electronic nose is conducted and the feasibility and validity of the proposed method are verified.