ANALYSIS OF GYROSCOPE RANDOM ERROR AND
APPLICATION ON GNSS/INS INTEGRATION
1）College of Navigation and Aerospace Engineering，Information Engineering University，Zhengzhou 450001
Abstract In order to reduce gyroscope random error，wavelet transform and higherorder AR models were used to process GNSS/INS data.The most of high frequency noise was eliminated by wavelet analysis，and higherorder AR model was used to describe the correlated noise.The results indicated that the method was effective for improving navigation accuracy during GPS outage.
Key words ：
GNSS/INS
outage
wavelet transform
AR model
random drifts
Received: 13 October 2013
Published: 09 December 2014
Cite this article:
Hao Wanliang,Sun Fuping. ANALYSIS OF GYROSCOPE RANDOM ERROR AND
APPLICATION ON GNSS/INS INTEGRATION[J]. jgg, 2014, 34(6): 144-147.
Hao Wanliang,Sun Fuping. ANALYSIS OF GYROSCOPE RANDOM ERROR AND
APPLICATION ON GNSS/INS INTEGRATION[J]. jgg, 2014, 34(6): 144-147.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I6/144
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