基于RSSI和LQI的动态距离估计算法

Dynamic distance estimation method based on RSSI and LQI

本文提出了一种基于RSSI和LQI的动态距离估计算法。其思想就是通过对无线电传播路径损耗模型以及大量实测数据的分析,用分段线性逼近的方法得到RSSI、LQI这2者与传播距离的衰落曲线。在距离估计时,分别对这2条衰落曲线计算出估计距离,并动态地进行优化处理得到最终的距离估计值。算法在基于ZigBee的硬件平台上进行,证明了该算法较普通的基于RSSI的测距方法有了明显的进步,提高了距离估计的精度,并且适合在通信开销小、硬件要求低的节点上应用,有利于提高基于RSSI测距的定位算法的精度。

This paper proposes a dynamic distance estimation method based on RSSI and LQI. By analyzing the model of radio wave propagation loss and empirical data from real measurement, our idea is to use discrete linear lines to approximate the real attenuation of RSSI and LQI. Then this algorithm dynamically chooses the better one to do the calculation and adjust its value based on the fluctuation. Actual measurements have demonstrated that the dynamic distance estimation method has higher accuracy and is suitable for costficonscious applications.