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

J. Pavanija, G. Jyothi, B. Dhanraj, G. Kumar, A. Bose, Pratibha Verma
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引用次数: 2

Abstract

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,
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基于迭代和粒子群算法的GNSS接收机坐标位置误差减小
针对IRNSS和GPS星座,提出了一种基于迭代最小二乘法(ILSM)和粒子群优化(PSO)算法来减小GNSS接收机定位误差的方法。来自GNSS接收机的RINEX数据被用作工作中提出的算法的输入。首先实现最佳GDOP卫星选择算法,选择最佳卫星集,避免接收多卫星星座不必要的导航信号;然后对得到的接收机坐标分别应用ILSM和PSO算法。结果表明,粒子群算法在定位误差解的精度上优于迭代算法。得到±10m误差范围内的GNSS接收机坐标,
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