A MODIFIED GAUSSIAN SUM APPROACH TO ESTIMATION OF NON-GAUSSIAN SIGNALS

被引:7
|
作者
CAPUTI, MJ
MOOSE, RL
机构
[1] UNIV PACIFIC,STOCKTON,CA 95211
[2] VIRGINIA POLYTECH INST & STATE UNIV,BRADLEY DEPT ELECT ENGN,BLACKSBURG,VA 24061
关键词
D O I
10.1109/7.210082
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A Gaussian sum estimation algorithm has previously been developed to deal with noise processes that are non-Gaussian. Inherent in this algorithm is a serious growing memory problem that causes the number of term in the Gaussian sum to increase exponentially at each iteration. A modified Gaussian sum estimation algorithm is developed here that avoids the growing memory problem of the previous algorithm while providing effective state estimation. A simulation example is presented which illustrates the new non-Gaussian estimation technique.
引用
收藏
页码:446 / 451
页数:6
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