摘要
为了提高模糊度解算的效率和成功率,针对单历元组成的法方程存在严重病态的情况,提出应用修正的TIKHONOV正则化方法降低了法方程的病态性,使实数解接近于整数真实值,并使生成的权逆阵的结构得到明显的改善,而后利用模糊度实数解和权逆阵组成模糊度搜索准则,应用遗传算法进行模糊度搜索。实例证明,应用该方法取得了较好的效果,提高了模糊度的成功率和搜索效率。为应用单历元观测值实现较高精度快速动态定位提供了一些新的方法。
In order to improve the success rate and search efficiency, the paper suggests applying modified TIKHONOV regularization method to reduce ill-condition of normal matrix which is formed by single epoch observations to get more reliable and nearer real solution. Then the work load for searching integer ambiguity is reduced which is composed of the float ambiguity and covariance. To use genetic algorithm can search the best candidate integer set depending on a fitness function. Some results show that the method could improve the success rate and efficiency for determining single epoch carrier phase. And the method provides some new ways for applying single epoch measurements to fulfill high precision dynamic positioning.
出处
《长江科学院院报》
CSCD
北大核心
2005年第1期32-34,38,共4页
Journal of Changjiang River Scientific Research Institute
基金
国家自然科学基金资助项目(40474009)
中国科学院知识创新工程领域前沿项目资助(030185)
