article · Cehui kexue · 2008
An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment
Cited by 2Abstract and details only
Abstract
The GPS receiver in weak signal environment can't recover a full time of signal transmission.For overcoming this shortcoming,a new Assisted-GPS positioning algorithm is presented.Based on this algorithm,the receiver needn't accomplish the frame synchronization and navigation data demodulation,which are usually necessary for a conventional GPS receiver.The receiver position is estimated only through measuring the pseudo-code phase and synchronizing the bit data after the assistance data(including ephemeris information and satellite clock corrections etc.) is obtained.In this paper,the condition for resolving the ambiguity of time of signal transmission is derived strictly.Consequently,it provides an explicit solution equation for observing five satellites or more,and the computation flow is then summarized.The simulation results validated the proposed algorithm.Compared with conventional GPS positioning algorithm(unambiguous for time of signal transmission),the positioning accuracy of proposed algorithm is exactly equal to that of the conventional algorithm.
Cite this paper
Zhao-wen, Z. (2008). An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment. Cehui kexue.
Zhao-wen, Zhuang. “An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment.” Cehui kexue, 2008.
Zhao-wen, Zhuang. 2008. “An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment.” Cehui kexue.
Zhao-wen, Z. (2008) ‘An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment’, Cehui kexue.
@article{zhaowen2008algorithm,
title = {{An algorithm for Assisted-GPS positioning based on ambiguous search in weak signal environment}},
author = {Zhao-wen, Zhuang},
journal = {Cehui kexue},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.