基于混合滤波和节点自适应校正模型的测距算法

采用混合滤波法过滤异常的RSSI值并估算优值，由节点自适应校正模型消除路径衰减因子，解决了RSSI测距误差较大的问题。由此提出了基于混合滤波和节点自适应校正模型的测距算法。通过实验证明，混合滤波优于常用的几种滤波法，节点自适应校正模型无需测试路径衰减因子，能直接适用于不同环境，并且随着节点个数的增加，测距误差会进一步降低。相比于未采用此模型的情况，该算法能大大降低测距误差和成本，提高RSSI测距的实用性。

A Distance Measurement Algorithm Based on Hybrid Filter and Nodes Adaptive Correction Model

Adopting hybrid filter to filter abnormal RSSI result and estimate optimal result,and using node adaptive correction model to eliminate the path attenuation factor,solved the error problem of distance measurement based on RSSI. And it put forward to a distance measurement algorithm based on hybrid filter and nodes adaptive correc?tion model. The experimental results prove that hybrid filter is superior to other common filter methods. Node adap?tive correction model don’t need to test path attenuation factor and it are suitable for different environment directly. With the increase of node,the distance-measuring error will decrease coordinately. Compared with the situation without using this model,the proposed algorithm can greatly reduce the measurement error and cost,improving the practicality of RSSI.