In order to solve the differential global positioning system（ DGPS） integer ambiguity more quickly and accurately

the improved particle swarm optimization algorithm is applied to the ambiguity fixed solution search. In the DGPS integer ambiguity calculation

firstly

using the least squares estimation ambiguity floating point solution and covariance matrix

on the basis of DGPS carrier phase observation equation. And then reduce the correlation of ambiguity floating point solution. Finally

the improved particle swarm optimization algorithm is used to search for the ambiguity fixed solution. The example results show that in the 1 000 epoch comparison experiment with LAMBDA algorithm

the solution success rate of both is about 98 %

which is not much difference

but search time of the improved particle swarm algorithm is 12. 472 s

which is 2. 008 s shorter than the LAMBDA algorithm

the search efficiency is significantly improved.