Intelligent Information Management

Intelligent Information Management

ISSN Print: 2160-5912
ISSN Online: 2160-5920
www.scirp.org/journal/iim
E-mail: iim@scirp.org
"Tracking with Estimate-Conditioned Debiased 2-D Converted Measurements"
written by John N. Spitzmiller, Reza R. Adhami,
published by Intelligent Information Management, Vol.2 No.4, 2010
has been cited by the following article(s):
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[2] Two unbiased converted measurement Kalman filtering algorithms with range rate
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[3] Best linear unbiased estimation algorithm with Doppler measurements in spherical coordinates
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[4] 基于修正加权矩阵的 3 维解耦无偏量测转换交互式多模型算法
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[5] 基于强跟踪器的机动航天器相对动态定位算法
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[6] 基于卡尔曼滤波预测的无偏量测转换方法
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[7] Debiased converted position and Doppler measurement tracking with array radar measurements in direction cosine coordinates
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[8] Converted Measurement Trackers for Systems with Nonlinear Measurement Functions
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[9] Modellgestützte Sensordatenfusion von Laserscanner und Radar zur Erfassung komplexer Fahrzeugumgebungen
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[10] Asynchronous data fusion of infrared imaging and laser ranging for target tracking
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[11] Basic tracking using nonlinear 3D monostatic and bistatic measurements
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[12] Decorrelated unbiased converted measurement Kalman filter
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[13] One can do better than the unscented Kalman filter for multistatic tracking
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[14] A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion
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[15] Unbiased tracking with converted measurements
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[16] Naval Undersea Warfare Center, Newport, RI, USA
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[17] A robust converted measurement Kalman filter for target tracking
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[18] Bias elimination in tracking with converted position and Doppler measurements.
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[19] Bias elimination in tracking with converted position and Doppler measurements
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[20] Tracking with converted position and Doppler measurements
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[21] Novel applications of the unscented transformation to 2-D CMKF tracking
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[22] Tracking with spherical-estimate-conditioned debiased converted measurements
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