一种针对未知发射功率的室内定位优化算法

在基于接收信号强度的室内定位中，未知的发射功率会降低网络的定位性能。为了解决这一问题，根据室内环境中接收信号强度的特性，提出了一种新的的室内定位优化算法。该算法将发射功率表示成一个未知变量，通过将公式中的非线性项进行线性逼近，将非线性的定位问题转化为一个线性优化问题，并采用最小二乘法求出目标节点的坐标。仿真和实验结果表明，在发射功率未知的情况下，提出算法要明显优于传统的定位算法，具有很好的定位性能。

An Indoor Localization Algorithm with Unknown Transmission Power for Wireless Sensor Network

Unknown transmission power is to degrade the accuracy of positioning in received signal strength-based in?door localization. To solve this problem,we propose a novel localization algorithm based on received signal strength indicator gathered from real indoor environment. The proposed algorithm regards transmission power as nuisance pa?rameters estimated along with source locations and transforms the traditionally nonlinear localization problem into a linear optimization problem using linear approximation which can be solved very efficiently. We apply the least squares to solve the corresponding localization problem. Simulation and experimental results show that the proposed algorithm achieves high performance compared to traditional algorithms when the transmission power is unknown.