In this paper, a novel method for selecting a navigation satellite subset for a global positioning system (GPS) based on a genetic algorithm is presented. This approach is based on minimizing the factors in the geometric dilution of precision (GDOP) using a modified genetic algorithm (MGA) with an elite conservation strategy, adaptive selection, adaptive mutation, and a hybrid genetic algorithm...

This paper shows an application of the fuzzy-logic approach to mobile mapping issues, presenting results of fuzzy processing of the C/A-code-based GPS measurements (standalone static positioning), whose accuracy depends essentially on the satellite observation geometry, expressed numerically by the GDOP (Geometrical Dilution Of Precision) factor, and on the Signal-to-Noise Ratio (SNR). A fuzzy ...

This paper evaluates the positioning performance of a single-frequency software GPS receiver using Ionospheric and Tropospheric corrections. While a dual-frequency user has the ability to eliminate the ionosphere error by taking a linear combination of observables, a single-frequency user must remove or calibrate this error by other means. To remove the ionosphere error we take advantage of the...

When navigating from landmarks, the numerical computation of the differential behavior of the mapping from measurements to states is well understood. This paper seeks to develop tools to foster an intuitive grasp of the spatial variation in the differential behavior of this mapping. Graphical methods are adapted from marine navigation in order to introduce the issues in low dimensional cases. T...

The Global Positioning System (GPS) is an accurate positioning system. The GPS has an accuracy that varies from 4mm up to 11m. This project in lieu of thesis investigates the state of art of the GPS navigation and positioning for outdoor and indoor environments with a particular focus to the outdoor applications. This project includes an overview of GPS system, the GPS segments, the composition...

Navigation in an unknown environment without any preexisting positioning infrastructure has always been hard for mobile robots. This paper presents a self-deployable ultra wideband UWB by agents, that permits dynamic placement and runtime extension of anchors while the robot explores new environment. We provide detailed analysis uncertainty system grows. Moreover, we developed genetic algorithm...

In recent years, global navigation satellite system (GNSS)-based navigation in high earth orbits (HEOs) has become a field of research interest since it can increase the spacecraft’s autonomy, thereby reducing the operating costs. However, the GNSS availability and the GNSS-based navigation performance for a spacecraft orbiting above the GNSS constellation are strongly constrained by the signal...

In this study, two novel learning algorithms have been applied on Radial Basis Function Neural Network (RBFNN) to approximate the functions with high non-linear order. The Probabilistic Evolutionary (PE) and Gaussian Mixture Model (GMM) techniques are proposed to significantly minimize the error functions. The main idea is concerning the various strategies to optimize the procedure of Gradient ...

In order to achieve fast and accurate passive location of the target radiation source, this paper puts forward a Virtual Time Reversal Method Based on Uniform Linear Array (ULA-VTR) algorithm. This framework employs time reversal focusing theory, which does not require physical transmission signals pre-estimation channel realize direction finding. The above principle is utilized perform source ...

Complementary solutions to the Medium Earth Orbit (MEO) Global Navigation Satellite Systems (GNSS) are more and in demand be able achieve seamless positioning worldwide, outdoor as well indoor scenarios, cope with increased interference threats GNSS bands. Two of such complementary systems can rely on emerging Low (LEO) constellations terrestrial long-range Internet Things (IoT) systems, both u...