Target localization based on two-stage instrument variable estimator

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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Bibliographische Detailangaben
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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Zusammenfassung: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.