LQI

LQI Control of Discrete Systems with Time - delay

离散时延系统的LQI控制

This paper proposes a 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。

Dynamic distance estimation method based on RSSI and LQI

基于RSSI和LQI的动态距离估计算法

A link evaluation algorithm based on mean LQI is proposed by comparing some link quality evaluation parameters .

在实验的基础上对一些链路质量评估参数进行对比之后，提出了一种基于LQI均值的链路评估算法。

An Improved DV-Hop Algorithm Based on LQI and RSSI

基于LQI和RSSI改进的DV-Hop定位算法

Extracting the characteristic parameters LQI and RSSI which reflect link quality , and analyzing and modeling the relationship between the characteristic parameters , then get the evaluation model of it .

提取出能够反映链路质量的特征参数RSSI与LQI，并对特征参数间的关系进行了回归分析、拟合，得到特征参数的评估算法。

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 .

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。

Moreover , an appropriate sample numbers so as to calculate the sample average and baseline LQI value of good link quality had been deduced , which will contribute a lot to the relating LQI researches .

同时通过试验推导出计算LQI平均值最合适的样本数和一条好的无线链路的基准LQI值，给LQI的相关研究提供了很有价值的结论。

In this paper , various existing energy-saving technologies applied in this system the possibility of in-depth study found that : the physical layer network nodes based on location to determine RSSI / LQI values adjust the size of transmission power .

本文对现有各种节能技术在本系统中应用的可能性深入研究后发现：物理层可以根据网络节点位置判断RSSI/LQI值调节发射功率大小。

This algorithm obtains node positions directly by node RF signals by using SVR tools to build the positioning model whose inputs are node RF signals ( RSSI and LQI for characteristics ) while outputs are coordinates .

该算法用支持向量回归工具建立以节点RF信号（以RSSI和LQI为特征量）为输入，以节点位置坐标为输出的定位模型，可直接由节点RF信号得到节点位置。