AN NONLINEAR LEAST SQUARES ALGORITHM FOR SPATIAL COORDINATE TRANSFORMATION
基于非线性最小二乘算法的空间坐标转换

A method for large-rotation-angle three dimensional rectangular coordinate transformation based on nonlinear-least-squares algorithm is put forward,which can achive the best valuation of seven-parameter by solving multi-function minimum. This method has many advantages, such as calculating simply, converging rapidly, relying less on the initial values of 7 transformational parameters, facilitating program realization. A simulation example and the comparison with other method prove its validity finally.