A NEW SEQUENTIAL WEIGHED FUSION METHOD WITH COLORED NOISE AND TIME DELAY
Considering existing questions of the traditional synchronous fusion algorithms, e.g. assumptions of white noise and non-transmission delay produced by the influences of weather, humidity, magnetic field and communication line etc.,the paper proposes an improved sequential weighted fusion algorithm, which can not only deal with colored noise but also adapt automatically the case with network-induced delay which is less than a sampling period. Performance analysis shows that proposed method has more advantages than traditional synchronous fusion methods and simulation example indicates that the two kinds of methods have uniform estimate accuracy to object state.
Data fusion colored noise Kalman filtering sequential weighted transmission delay
XIAO-LIANG XU JING-FAN TANG
College of Computer Science & Technology, Hangzhou Dianzi University, Hangzhou, P.R.China 310018
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
1879-1884
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）