TY - GEN
T1 - A neural network based algorithm for precise transformation between gps height and pressure altitude
AU - Jiachuan, Lv
AU - Xuejun, Zhang
PY - 2008
Y1 - 2008
N2 - This paper proposes a neural network based algorithm for precise transformation between GPS height and pressure altitude. In order to accomplish the transformation, the algorithm adopts geometric height referenced to MSL as a mid-transfer parameter by which the entire process is divided into two components: the transformation between two reference surfaces and the transformation between two height measurements. The algorithm can be used in applications that require high accuracy position information, such as the monitoring of aircraft height keeping performance in Reduced Vertical Separation Minimum (RVSM) airspace and precise positioning for aerostat.
AB - This paper proposes a neural network based algorithm for precise transformation between GPS height and pressure altitude. In order to accomplish the transformation, the algorithm adopts geometric height referenced to MSL as a mid-transfer parameter by which the entire process is divided into two components: the transformation between two reference surfaces and the transformation between two height measurements. The algorithm can be used in applications that require high accuracy position information, such as the monitoring of aircraft height keeping performance in Reduced Vertical Separation Minimum (RVSM) airspace and precise positioning for aerostat.
UR - https://www.scopus.com/pages/publications/67249146455
U2 - 10.1109/DASC.2008.4702866
DO - 10.1109/DASC.2008.4702866
M3 - 会议稿件
AN - SCOPUS:67249146455
SN - 9781424422081
T3 - AIAA/IEEE Digital Avionics Systems Conference - Proceedings
SP - 6B81-6B89
BT - 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, DASC 2008
T2 - 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, DASC 2008
Y2 - 26 October 2008 through 30 October 2008
ER -