Multipath Suppressing Method Based on Pseudorange Model Using Modified Teaching?Learning Based Optimization Algorithm

Satellites based positioning has been widely applied to many areas in our daily lives and thus become indispensable, which also leads increasing demand for high-positioning accuracy. In some complex environments (such as dense urban, valley), multipath interference is one of the main error sources deteriorating accuracy, it difficult eliminate via differential techniques due its uncertainty occurrence irrelevance different instants. To address this problem, we propose a method global navigation satellite systems (GNSS) by adopting modified teaching-learning optimization (TLBO) algorithm after problem formulated an problem. Experiments are conducted using actual data. The results show that proposed outperforms other algorithms, such particle swarm algorithm, evolution variable projection method, TLBO terms accuracy stability.