NDLI: Cramer-Rao lower bounds for bearings-only maneuvering target tracking with incomplete measurements

Content Provider	IEEE Xplore Digital Library
Author	Xu Zhigang Sheng Andong Li Yinya
Copyright Year	2009
Description	Author affiliation: School of Automation, Nanjing University of Science and Technology, 210094, China (Xu Zhigang; Sheng Andong; Li Yinya)
Abstract	The theoretical Cramer-Rao lower bound (CRLB) for bearings-only maneuvering target tracking is derived in the case where the observation measurements are lost in a random fashion. Two binary variables are introduced to model two events respectively, one which the target maneuvers or not and another that the target is detected or missed. The corresponding recursive formula for theoretical CRLB is then derived based on the sequential version of the CRLB for general nonlinear systems. The theoretical formula suffers from heavy calculation load of the Fisher information matrix (FIM) while the constant probability of detection is less than unity. An approximation of the theoretical bound is proposed. In addition, a detection reduction factor bound is presented and proved to be less than the theoretical CRLB. The results are illustrated with a numerical example.
Starting Page	2201
Ending Page	2206
File Size	198023
Page Count	6
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5191603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Incomplete measurements Target tracking Automation Filtering Event detection Cramer-Rao lower bound Maneuvering target tracking Probability Loss measurement Monte Carlo methods Linear approximation Bearings-only tracking Sampling methods Nonlinear systems
Content Type	Text
Resource Type	Article

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