RESEARCH OF ROBUST ADAPTIVE FILTERING BASED
ON MOVING WINDOW
1)School of Civil Engineering，Shenyang Jianzhu University，Shenyang 110168
Abstract Robust adaptive filtering supposes that result of robust least square is accurate in current epoch.Through discrepancy between updated kinematic information and the measurements，navigation is adaptive.But in actual car navigation，rate of gross error is high，which makes accuracy of robust result drop.In order to solve this problem，this paper gives a robust adaptive filtering based on moving windows which regard mean error of robust least square solution of previous epochs as the threshold of current epoch.Experiments of road based on GPS/COMPASS realkinematic positioning indicate that this algorithm can improve accuracy of navigation in urban environment.
Key words ：
robust filtering
adaptive filtering
GPS/COMPASS
real-time kinematic
moving window
Received: 17 February 2014
Published: 09 December 2014
Cite this article:
Liu Maohua,Yin Xiao,Lü Zhipeng et al. RESEARCH OF ROBUST ADAPTIVE FILTERING BASED
ON MOVING WINDOW[J]. jgg, 2014, 34(6): 140-143.
Liu Maohua,Yin Xiao,Lü Zhipeng et al. RESEARCH OF ROBUST ADAPTIVE FILTERING BASED
ON MOVING WINDOW[J]. jgg, 2014, 34(6): 140-143.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I6/140
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