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针对无线传感器网路的信号源定位问题,结合信号到达时间(TOA),本文提出了一种基于TOA的无线传感器网路源定位算法。考虑到TOA源定位算法的观测方程中位置信息和源信号传输时间之间的非线性关系,在常用线性化方法的基础上,设计了一种新的线性化方法,即通过坐标系平移变换来去除观测方程中的非线性变量;同时,利用多级估计来获取更好的定位性能;最后,进行了仿真实验。实验结果表明:当测量误差足够小时,本文所述定位算法可以有效地逼近CRLB下限,而且计算复杂度较低、定位精度较高。
In order to solve the problem of signal source localization in wireless sensor networks and combined with signal arrival time (TOA), this paper proposes a TOA-based wireless sensor network source localization algorithm. Considering the non-linear relationship between the position information and the source signal transmission time in the observation equation of TOA source localization algorithm, a new linearization method is designed based on the commonly used linearization method, that is, through the translation transformation of coordinate system Remove the non-linear variables in the observation equation; at the same time, use multi-level estimation to get better positioning performance; and finally, carry out the simulation experiment. The experimental results show that when the measurement error is small enough, the location algorithm described in this paper can effectively approach the lower limit of CRLB, and the computational complexity is low and the positioning accuracy is high.