RESEARCH ON AMBIGUITY RESOLUTION OF GPS SHORT BASELINE BY USING IMPROVED PARTICLE SWARM OPTIMIZATION
改进粒子群算法求解GPS短基线整周模糊度的研究

Aimming at the ambiguity float solution of reducing the correlation and its variance arrary,a new ambiguity search algorithm based on improved particle swarm optimization(IPSO) was proposed.For the integer nature of double difference ambiguity,real code were modified to round in coding and made up of particle individual.Through adaptive calculation of inertia weight and particle mutation,IPSO has improved the global convergence and robustness of standard particle swarm optimization to search carrier phase integer ambiguity.The testing example indicates that the new method not only increased the success rate of fixing ambiguity,but also improved the search efficiency,and it spent the same amount of time with LAMBDA,and less time than that genetic algorithm did.The new method is fast and reliable,and will make great application significance to ambiguity resolution of GPS short-baseline.