LM算法的简要描述。LM算法是一种定位多变量函数最小值的迭代技术，是解决非线性最小二乘问题的基本技术之一。-The Levenberg-Marquardt(LM)algorithm is an iterative technique that locates the minimum of a multivariate function that is expressed as the sum of squares of non-linear real-valued functions[4

最小二乘法(LS)仿真6个参考节点定位一个定位节点，利用RSSI与距离转化的公式求解距离。-Least squares (LS) simulation 6 reference node positioning a positioning node, the use of RSSI and distance into the distance formula to solve.

TDOA定位的泰勒级数展开最小二乘定位算法Matlab源码.-TDOA localization Taylor series expansion of the least squares algorithm Matlab source code.