I am trying to implement Kalman filter to get rid of multipath error points on GPS data while my data contains Latitude, Longitude, accuracy, altitude, speed and time. I am using python but unable to figure out how can I choose parameters for solving this issue.
Guidence will be very much apreciated.
Thanks in advance
I suggest you follow https://au.mathworks.com/help/control/ug/kalman-filter-design.html;jsessionid=5e7e55143a36e2eb092acf4d9460
https://au.mathworks.com/matlabcentral/answers/284048-how-to-interpolate-gps-data-for-use-in-kalman-filter
See also Preprint An overview on Optimal Kalman and Grassmann Filtering Techni...
Dear Zafar:
Multipath errors have to be removed from the pseudorange observables but there is no easy way to do so, and we cannot remove them post facto, that is after we have estimated the position. For details, read the books by Misra and Enge, and Kaplan and Hegarty. There are numerous papers on the subject and they are cited in these books. You can read more about this topic in the paper by Breivik et al. ION Annual Meeting 1996 where they use the signal-to-noise power ratio of pseudorange observables to estimate the multipath. I have attached my own paper in which we have given our elementary but incomplete efforts to estimate the multipath we encountered, following Breivik et al. paper.
I hope this helps. If you wish to communicate with me, please do so at [email protected]
Regards
Hari Hablani
Thank you Hari and Muhammad, I will go through with the links provided and contact if still required further guidance.
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