Target localization based on two-stage instrument variable estimator

In the target localization, reducing the estimation error which is caused by the bias is big issue. This paper addresses the instrumental variable (IV) method for decreasing the estimation error under assumption that the bias is a constant but unknown. It is proved that the proposed bias augmented I...

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Hauptverfasser:	Yong Hwi Kim, Ka Hyung Choi, Jin Bae Park, Tae Sung Yoon
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Covariance matrix Estimation error Instrument Variable (IV) method Kalman filters Measurement uncertainty Noise Noise measurement Separate-Bias Target Localization Two-Stage Estimator Vectors
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creator	Yong Hwi Kim Ka Hyung Choi Jin Bae Park Tae Sung Yoon
description	In the target localization, reducing the estimation error which is caused by the bias is big issue. This paper addresses the instrumental variable (IV) method for decreasing the estimation error under assumption that the bias is a constant but unknown. It is proved that the proposed bias augmented IV estimator and two-stage IV estimator algorithms produce the same estimation results. In addition, the proposed two-stage IV estimator provides improved performance comparing with the two-stage Kalman estimator.
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Covariance matrix Estimation error Instrument Variable (IV) method Kalman filters Measurement uncertainty Noise Noise measurement Separate-Bias Target Localization Two-Stage Estimator Vectors
title	Target localization based on two-stage instrument variable estimator
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