MULTIPROCESS CONSTRAINED ESTIMATION

被引：53

作者：

HINTZ, KJ

MCVEY, ES

机构：

[1] USN,CTR SURFACE WEAP,DAHLGREN,VA

[2] UNIV VIRGINIA,DEPT ELECT ENGN,CHARLOTTESVILLE,VA 22903

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS | 1991年 / 21卷 / 01期

关键词：

D O I：

10.1109/21.101154

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method is described that maximizes the information flow through a constrained communications channel when it is desired to estimate the state multiple nonstationary processes. The concept of a constrained channel is introduced as a channel that is not capable of transferring all of the information required. A measure of information is developed based on the estimation entropy utilizing the Kalman filter state estimator. It is shown that this measure of information can be used to determine which process to observe in order to maximize a measure of global information flow. For stationary processes, the sampling sequence can be computed a priori, but nonstationary processes require real-time sequence computation.

引用

页码：237 / 244

页数：8

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