Reduction of Position Error in GNSS receiver Coordinates using Iterative and PSO based Algorithms

In this paper, an effort to reduce the position error obtained from GNSS receivers-using Iterative Least Square Method (ILSM) and Particle Swarm Optimization (PSO) based algorithms for IRNSS and GPS constellation is presented. RINEX data from GNSS receiver is used as input for algorithms presented in the work. First satellite selection algorithm to obtain best GDOP is implemented to select best satellite set to prevent unnecessary navigational signals reception from multiple satellite constellations. Then ILSM and PSO algorithms are applied individually to the receiver coordinates obtained. Results are compared those show that PSO algorithm has better efficiency than iterative algorithm to minimize the position error solution in terms of precision. GNSS receiver coordinates within ± 10m error range is obtained,