Improving GPS/INS Integration through Neural Networks

Details Improving GPS/INS Integration through Neural Networks Improving GPS/INS Integration through Neural Networks

2010-05-27

arxiv.org/abs/1005.5115v1

Journal of Telecommunications,Volume 2, Issue 2, pp1-6, May 2010

Computer Science

Neural and Evolutionary Computing

Scientific paper

The Global Positioning Systems (GPS) and Inertial Navigation System (INS) technology have attracted a considerable importance recently because of its large number of solutions serving both military as well as civilian applications. This paper aims to develop a more efficient and especially a faster method for processing the GPS signal in case of INS signal loss without losing the accuracy of the data. The conventional or usual method consists of processing data through a neural network and obtaining accurate positioning output data. The new or improved method adds selective filtering at the low-band frequency, the mid-band frequency and the high band frquency, before processing the GPS data through the neural network, so that the processing time is decreased significantly while the accuracy remains the same.

Affiliated with

Also associated with

No associations

Rating

Improving GPS/INS Integration through Neural Networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Improving GPS/INS Integration through Neural Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improving GPS/INS Integration through Neural Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-192704