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GPS Data Smoothing Algorithm by a_kaee is a document available to read on EtoBox.

1) The document presents a smoothing algorithm based on impulse response for filtering GPS data to reduce noise while preserving detail. 2) Experiments applying the algorithm to real GPS data show that positioning RMS errors reduced to less than 0.4m and timing RMS errors reduced to less than 65 nanoseconds. 3) The algorithm is computationally efficient and suitable for real-time GPS data smoothing.

Author
a_kaee
Language
EN