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期刊论文

Fusion of Distributed Extended Forgetting Factor RLS State Estimators

朱允民YUNMIN ZHU KESHU ZHANG X. RONG LI

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL.44, NO.2 APRIL 2008,-0001,():

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摘要/描述

For single-target multisensor systems, two fusion methods are presented for distributed recursive state estimation of dynamic systems without knowledge of noise covariances. The estimator at every local sensor embeds the dynamics and the forgetting factor into the recursive least squares (RLS) method to remedy the lack of knowledge of noise statistics, developed before as the extended forgetting factor recursive least squares (EFRLS) estimator. It is proved that the two fusion methods are equivalent to the centralized EFRLS that uses all measurements from local sensors directly and their good performance is shown by simulation examples.

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版权说明:以下全部内容由朱允民上传于   2009年06月29日 15时40分18秒,版权归本人所有。

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