원문정보
초록
영어
Reliability is an essential performance in GPS navigation system. Therefore, satellite fault detection is considered as one of the most important functions in GPS receivers. For the declining problem of the ability of fault detection for the traditional GPS satellite fault detection algorithm under the condition of small fault, a new GPS satellite fault detection algorithm based on wavelet analysis is proposed. The raw pseudorange measurements and the positioning data information are transformed by wavelet analysis and the data jumping point can be detected and identified through the different wavelet scales, and the satellite fault could be detected. Two kinds of GPS satellite fault detection methods are given in detail, and the advantages and disadvantages of them are compared. Validated by the real collected raw data from the GPS receiver, the results show that the wavelet analysis method can detect smaller mutations in a sequence of parameters, and the feasibility and effectiveness of applying the wavelet analysis algorithm in satellite fault detection for GPS receiver are verified.
목차
1. Introduction
2. Fault Detection Theory Based on Wavelet Analysis
3. Wavelet Analysis Algorithm for GPS Fault Detection
4. Simulation Results of the GPS Fault Detection Algorithm
4.1. Experiment Results for Pseudorange Measurement Data Fault Detection
4.2. Experiment Results for Position data Fault Detection
4.3. Different Wavelet Decomposition Hierarchy Results and Analysis
5. Conclusions
References