NDLI: Passive track fusion via hybrid coordinate filtering with recursive least squares estimator

Content Provider	IEEE Xplore Digital Library
Author	Li-Wei Fong Cheng-Hsiung Chen
Copyright Year	2009
Description	Author affiliation: Kainan University, No.1 Kainan Road, Luzhu Shiang, Taoyuan, Taiwan, ROC (Cheng-Hsiung Chen) \|\| Yu Da University, No. 168, Shiuefu Road, Tanwen, Chaochiao, Miaoli, Taiwan, ROC (Li-Wei Fong)
Abstract	An estimation fusion algorithm based on a group of hybrid coordinate (HC) filters is presented to the position and velocity estimation using angle-only measurements extracted from multiple maneuverable aircrafts with onboard passive sensor. The algorithm is a hierarchical architecture which consists of several local processors and a global processor. In each local processor, an extended Kalman (EK) filter utilizes the reference Cartesian coordinate (RCC) system for state and state covariance extrapolation and utilizes the modified spherical coordinate (MSC) system for state and state covariance updating. In the global processor, a recursive least squares (RLS) estimator sequentially computes a global estimate in the local inertial Cartesian coordinate (LICC) system. The estimator is developed by utilizing RCC updated state covariance to compute each filter weight for combining the outputs of local processors. The typical case of target motion analysis is investigated through computer simulation. In simulation study the proposed algorithm is compared to each HC EK filter. The EK filter encounters slow convergence problem under both circular arc and waving flight scenarios. By using a RLS estimator, the convergence is greatly accelerated. The algorithm markedly improves the tracking accuracy as well.
Starting Page	1722
Ending Page	1727
File Size	287579
Page Count	6
File Format	PDF
ISBN	9781424447060
DOI	10.1109/ICCA.2009.5410184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-09
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Passive filters Filtering Least squares approximation Recursive estimation Resonance light scattering Convergence Coordinate measuring machines Position measurement Velocity measurement Goniometers
Content Type	Text
Resource Type	Article

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