GNSS Satellite Selection Algorithm Revisited: A Weighted Way with Integrity Consideration

With the promising future of Global Navigation Satellite System (GNSS), the quantity of available satellites could dramatically increase to more than 35. Tracking all available satellites simultaneously leads to unacceptable computation burden for standal

  • PDF / 1,491,864 Bytes
  • 1 Pages / 439.37 x 666.142 pts Page_size
  • 1 Downloads / 163 Views

DOWNLOAD

REPORT

Satellite Navigation Models and Methods

Data Loading...

Recommend Documents
Ultra-Rapid Direct Satellite Selection Algorithm for Multi-GNSS

155 105 20MB

Dynamic Weighted Fog Computing Device Placement Using a Bat-Inspired Algorithm with Dynamic Local Search Selection

200 37 2MB

GNSS Integrity Monitoring Based on the Robust Positioning Solution

178 94 2MB

Generalized Selection Weighted Vector Filters

165 80 6MB

Extreme Algorithm Selection with Dyadic Feature Representation

221 46 50MB

Environmental Monitoring using GNSS Global Navigation Satellite Syst

185 85 18MB

Robust multiview feature selection via view weighted

185 74 2MB

Design and Development of a Simulation System for GNSS Radio Occultation Satellite Constellation Design

233 87 120MB

A KAM Tori Algorithm for Earth Satellite Orbits

178 35 931KB

A new smoothing-type algorithm for nonlinear weighted complementarity problem

226 72 272KB

Validation of GNSS ARAIM Algorithm Using Real Data

159 41 510KB

Binary JAYA Algorithm with Adaptive Mutation for Feature Selection

192 64 997KB