搜索结果: 16-30 共查到“信息与通信工程 Signal”相关记录39条 . 查询时间(0.133 秒)
The Signal Quality Monitor (SQM) is an integrity monitor for the Wide Area Augmentation System (WAAS). The monitor detects L1 signal waveform deformation of a GPS or a Geosynchronous (GEO) satellite m...
Methodology and Case Studies of Signal-in-Space Error Calculation Top-down Meets Bottom-up
Signal-in-Space Error Calculation Top-down Meets Bottom-up
2015/6/25
Signal in space (SIS) errors are a major error source for the Global Positioning System (GPS). They are defined as any errors related to satellite transmission, mainly satellite position and clock err...
Design and Performance of a Minimum-Variance Hybrid Location Algorithm Utilizing GPS and Cellular Received Signal Strength for Positioning in Dense Urban Environments
Design Performance Minimum-Variance Hybrid Location Algorithm GPS and Cellular Received Positioning in Dense Environments
2015/6/25
This paper shows how the complementary advantages of GPS and cellular received signal strength (RSS) positioning methods improves hybrid location estimation performance in dense urban environments. In...
Characterization of Signal Deformations for GPS and WAAS Satellites
Characterization Signal Deformations GPS WAAS Satellites
2015/6/25
Signal deformations are caused by imperfections or faults in the signal generating hardware onboard the satellites.Left uncorrected, these can lead to range errors. Thus they need to be measured and u...
GPS Signal-in-Space Anomalies in the Last Decade:Data Mining of 400,000,000 GPS Navigation Messages
GPS Signal-in-Space Data Mining GPS Navigation Messages
2015/6/25
For the Global Positioning System (GPS), signal-in-space(SIS) performance is key to the positioning accuracy and the integrity. In practice, SIS anomalies occasionally happens and the consequent user ...
Bounding Errors Caused by Nominal GNSS Signal Deformations
Bounding Errors Caused Nominal GNSS Signal Deformations
2015/6/24
Nominal signal deformations are present in GNSS-GPS and WAAS-GEO satellite signals. They result in pseudorange errors, which in turn cause navigation errors for GNSS users. These navigation errors dep...
Steffen Thoelert received his diploma degree in Electrical Engineering with fields of expertise in high-frequency engineering and communications at the University of Magdeburg in 2002. The next four y...
Statistical Characterization of GPS Signal-In-Space Errors
Statistical Characterization GPS Signal-In-Space Errors
2015/6/24
For most Global Positioning System (GPS) standard posi-tioning service (SPS) users, real-time satellite orbits and clocks are derived from predicted ephemeris and clock parameters in broadcast navigat...
As GLONASS has fully restored its constellation, there is an increasing desire to use multiple constellations to im-prove positioning performance. Knowledge of GLONASS signal-in-space (SIS) error beha...
Leveraging the L1Composite Signal to enable autonomous navigation at GEO and beyond
Leveraging L1Composite Signal enable autonomous navigation GEO beyond
2015/6/24
The Global Positioning System (GPS) was originally conceived to provide the United States military with reliable navigation and timing on and close to Earth. By design, the signals broadcast from the ...
Signal Deformation Monitoring for Dual-Frequency WAAS
Signal Deformation Monitoring Dual-Frequency WAAS
2015/6/24
Previous signal deformation analyses and monitor designs have primarily focused only on threats to the L1 C/A code. They have traditionally relied on a combination of empirical measurements and analyt...
The Effect of Nominal Signal Deformations on ARAIM Users
Nominal Signal Deformations ARAIM Users
2015/6/24
Predictions of the future performance of ARAIM users depend on a thorough understanding of the nominal performance of the satellites from all constellations. This generally requires long-term, careful...
Near Optimal Signal Recovery From Random Projections:Universal Encoding Strategies?
Random matrices singular values of random matrices signal recovery random projections concentration of measure sparsity trigonometric expansions uncertainty principle convex optimization duality in optimization linear programming
2015/6/17
Suppose we are given a vector f in a class F ⊂ RN, e.g. a class of digital signals or digital images. How many linear measurements do we need to make about f to be able to recover f to within pr...
Can we recover a signal f ∈ RN from a small number of linear measurements? A series of recent papers developed a collection of results showing that it is surprisingly possible to reconstruct certain t...
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Optimal first-order methods Nesterov’s accelerated descent algorithms proximal algorithms conic duality smoothing by conjugation the Dantzig selector the LASSO nuclearnorm minimization
2015/6/17
This paper develops a general framework for solving a variety of convex cone problems that frequently arise in signal processing, machine learning, statistics, and other fields. The approach works as ...