基于信号强度的改进室内定位算法

本文提出了一种基于信号强度（RSS）的改进无线传感器网络室内定位算法。相对于采用一条直线对距离与RSS之间的指数关系进行线性化的处理算法，所提出算法根据网络中移动定位节点与所有锚节点的位置关系对距离与RSS之间的指数关系进行分段线性化。仿真结果证明了本文所提改进算法，在定位均方误差方面，非常接近对应的克拉美罗界，抗噪声能力较强；在锚节点分布不规则的场景下，改进算法的性能具有明显优势。同时，仿真结果也证明了所提算法的正确性和有效性。

Modifiedindoor localization algorithm based on received signal strength

In the paper, a modified linearization algorithm of indoor localization based on Received Signal Strength (RSS) in wireless sensor networks is proposed. Compared to the original RSS linearization algorithm that linearly approximates the exponential relationship between distance and RSS only using one line with a constant linear slope, the modified linearization algorithm piecewise linearizes the exponential relationship according to the relationship between the mobile point and all anchor nodes in the wireless sensor network. The root mean square error of the modified algorithm is very close to the corresponding Cramer Rao bound (CRB), and the modified algorithm is with good ability in anti noise. For the case that anchor nodes are distributed irregularly, the proposed algorithm has obvious advantages in the performance. Meanwhile, the correctness and effectiveness have been verified by the simulated results.