DISTRIBUTED ESTIMATION AND QUANTIZATION

被引：146

作者：

GUBNER, JA

机构：

[1] Department of Electrical and Computer Engineering, University of Wisconsin, Madison, WI, 53706–1691

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1993年 / 39卷 / 04期

关键词：

NONLINEAR ESTIMATION; DISTRIBUTED ESTIMATION; SENSOR FUSION; LLOYD-MAX ALGORITHM;

D O I：

10.1109/18.243470

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

An algorithm is developed for the design of a nonlinear, n-sensor, distributed estimation system subject to communication and computation constraints. The algorithm uses only bivariate probability distributions and yields locally optimal estimators that satisfy the required system constraints. It is shown that the algorithm is a generalization of the classical Lloyd-Max results.

引用

页码：1456 / 1459

页数：4

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