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Solar cycle 23 is expected to reach a maximum in the year 2000. This has produced a recent flurry of research about the possible adverse effects of the ionosphere on the millions of GPS users. The int...
The Local Area Augmentation System (LAAS) is a ground-based differential GPS system being developed to support aircraft precision approach and landing navigation with guaranteed integrity. Stanford Un...
Over the past decade, two separate approaches have been developed to augment the Global Positioning System to meet the accuracy, integrity, continuity, and availability needs of civil aviation users.
The Local Area Augmentation System (LAAS) is intended to provide real-time differential GPS corrections with the high accuracy, availability, and integrity required for Category II/III landings. In or...
Jason Rife is a Research Associate studying the Local Area Augmentation System (LAAS) at Stanford University. After receiving his B.S. in mechanical and aerospace engineering from Cornell University (...
Triggered by several severe ionosphere storms that have occurred in recent years, research has been done to studying those anomalies, the physics behind them, and their potential impact on augmented G...
Local Area Augmentation System (LAAS) can be used for both Category I (CAT I) precision approach and Differentially Corrected Positioning Service (DCPS) navigation applications. Through its support of...
Young Shin Park is a Ph.D. Candidate in Aeronautics and Astronautics in the Global Positioning System (GPS) Research Laboratory at Stanford University. Her current research interests are enabling LAAS...
The Local Area Augmentation System (LAAS) has been developed by the FAA to enable precision approach and landing operations using the Global Positioning System (GPS). Each LAAS installation provides s...
The Local Area Augmentation System (LAAS) can be used for both precision approach and Differentially Corrected Positioning Service (DCPS) applications. Through its support of DCPS, the LAAS Ground Fac...
局域增强系统(LAAS)地面主控站(LGF)广播的差分修正量所包含的非零均值高斯误差和非高斯误差对系统的可用性造成较大的威胁。为此,提出一种均值膨胀和非高斯膨胀相结合的算法以改进传统的sigma膨胀算法。通过恰当地选取各膨胀系数,采用改进算法可在满足各类型误差尾部覆盖的同时,还可有效提高系统的可用性水平。计算机仿真结果表明:与传统的sigma膨胀算法相比,在无卫星故障时,改进算法可将系统可用性水平...
该文推导了LAAS地面参考站系统中伪距纠正量误差公式,分析现有的伪距纠正量误差完好性监测算法B值排除法,得出结论:B值之间具有相关性,一个B值出错,会影响到其它B值;B值排除法没有把接收机故障和卫星故障分开考虑,会产生较大的误检和漏检概率。该文提出两种伪距纠正量误差完好性监测算法:行列判断法和C值辅助法。针对无故障和5种故障情况,通过仿真实验对3种算法进行了分析,结果表明两种新算法的误检、漏检、误...

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