Wiener filter and gang scheduling algorithm for improving safety using gps signal
A.C. Sumathi, E. Kirubakaran, N.S. Bhuvaneswari · 2014
Global Positioning System (GPS) has developed essentially for the utilities of transportation, navigation, agriculture, medicine and surveying and nowadays particularly for safety concern such as aviation, medical field, public safety and disaster relief. Position information received from the standard GPS receivers includes time variant inaccuracies. For efficient use of GPS information for the applications, it is essential to model these errors. This paper recommends the use of a Wiener filter with gang scheduling algorithm to increase the accuracy in substitution of traditional GPS/INS fusion systems which needs expensive inertial systems. This approach is compared with positioning accuracy of Fuzzy, Neural, Neuro fuzzy, and Kalman networks in terms of accuracy and the processing time. The results of proposed Wiener scheme and gang scheduling algorithm give improved accuracy and good for the effective applications.