【摘要】 提出了采用选权拟和的正则化新方法,利用参考站坐标准确已知的条件作为约束,设计出正则化矩阵,使法矩阵的病态性得到了改善,只用几个历元的数据求解,能较准确得到模糊度的浮点解,在此基础上结合LAMBDA方法可以快速地确定整周模糊度。以4条中长基线的实测数据为例,新方法用3个历元的单频L1数据就能求解出整周模糊度,且成功率为100%。与现有方法相比,新方法可采用单频GPS数据实现中长基线GPS网络RTK的整数模糊度快速解算。更多还原

【Abstract】 An improved method based on the Tikhonov regularization principle and the precisely known reference station coordinate is proposed to design the regularized matrix. The ill-conditioning of the normal matrix can be improved by the regularized matrix. The relative floating ambiguity can be computed only by using the data of several epochs. Combined with the LAMBDA method, the new approach can correctly and quickly fix the integer ambiguity and the success rate is 100% in experiments. Through using measured data sets from four medium-long baselines, the new method can obtain exact ambiguities only by the L1-frequency data of three epochs. Compared with the existing methods, the improved method can solve the ambiguities of the medium-long baseline GPS network RTK only using L1-frequency GPS data.更多还原