摘要
提出了一种新的次优Sage自适应Kalman滤波算法。该算法通过对滤波器发散的综合抑制 ,有效提高了滤波器的数值稳定性。针对经典次优Sage滤波器经常存在结果偏移现象 ,设计了一种附加伴随滤波器的并行滤波结构 ,消除了结果偏移 。
A novel method of sub optimal Sage adaptive Kalman Filter is presented in this paper. This new method shows effectively improved numerical stability by means of synthetically restraining the filter's divergence. A parallel filter structure of adding a concomitant filter is designed to eliminate system biases that the standard Sage adaptive filter always suffers, and the accuracy is improved.
出处
《测绘学报》
EI
CSCD
北大核心
2002年第4期283-288,共6页
Acta Geodaetica et Cartographica Sinica
