@article{(Open Science Index):https://publications.waset.org/pdf/9999900,
	  title     = {A Study of Adaptive Fault Detection Method for GNSS Applications},
	  author    = {Je Young Lee and  Hee Sung Kim and  Kwang Ho Choi and  Joonhoo Lim and  Sebum Chun and  Hyung Keun Lee},
	  country	= {},
	  institution	= {},
	  abstract     = {This study is purposed to develop an efficient fault
detection method for Global Navigation Satellite Systems (GNSS)
applications based on adaptive noise covariance estimation. Due to the
dependence on radio frequency signals, GNSS measurements are
dominated by systematic errors in receiver’s operating environment.
In the proposed method, the pseudorange and carrier-phase
measurement noise covariances are obtained at time propagations and
measurement updates in process of Carrier-Smoothed Code (CSC)
filtering, respectively. The test statistics for fault detection are
generated by the estimated measurement noise covariances. To
evaluate the fault detection capability, intentional faults were added to
the filed-collected measurements. The experiment result shows that
the proposed method is efficient in detecting unhealthy measurements
and improves GNSS positioning accuracy against fault occurrences.
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {1861 - 1864},
	  ee        = {https://publications.waset.org/pdf/9999900},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},