您当前所在位置: 首页 > 学者

朱允民

  • 21浏览

  • 0点赞

  • 0收藏

  • 0分享

  • 298下载

  • 0评论

  • 引用

期刊论文

Optimal Linear Estimation Fusion-Part I: Unified Fusion Rules

朱允民X. Rong Li Senior Member IEEE Yunmin Zhu Jie Wang and Chongzhao Han

IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 49, NO.9, SEPTEMBER 2003,-0001,():

URL:

摘要/描述

This paper deals with data (or information) fusionfor the purpose of estimation. Three estimation fusion architecturesare considered: centralized, distributed, and hybrid. A unifiedlinear model and a general framework for these three architecturesare established. Optimal fusion rules based on the best linearunbiased estimation (BLUE), the weighted least squares (WLS), and their generalized versions are presented for cases with complete,incomplete, or no prior information. These rules are moregeneral and flexible, and have wider applicability than previous results.For example, they are in a unified form that is optimal for allof the three fusion architectures with arbitrary correlation of localestimates or observation errors across sensors or across time. Theyare also in explicit forms convenient for implementation. The optimalfusion rules presented are not limited to linear data models.Illustrative numerical results are provided to verify the fusion rulesand demonstrate how these fusion rules can be used in cases withcomplete, incomplete, or no prior information.

关键词:

版权说明:以下全部内容由朱允民上传于   2006年06月09日 23时22分11秒,版权归本人所有。

我要评论

全部评论 0

本学者其他成果

    同领域成果