"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] Best linear unbiased estimation algorithm with Doppler measurements in spherical coordinates
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[3] 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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[4] 基于强跟踪器的机动航天器相对动态定位算法
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[5] 基于卡尔曼滤波预测的无偏量测转换方法
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[6] Debiased converted position and Doppler measurement tracking with array radar measurements in direction cosine coordinates
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[7] Converted Measurement Trackers for Systems with Nonlinear Measurement Functions
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[8] Modellgestützte Sensordatenfusion von Laserscanner und Radar zur Erfassung komplexer Fahrzeugumgebungen
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[9] Asynchronous data fusion of infrared imaging and laser ranging for target tracking
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[10] Basic tracking using nonlinear 3D monostatic and bistatic measurements
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[11] Decorrelated unbiased converted measurement Kalman filter
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[12] One can do better than the unscented Kalman filter for multistatic tracking
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[13] A nonlinear tracking algorithm with range-rate measurements based on unbiased measurement conversion
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[14] Unbiased tracking with converted measurements
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[15] Naval Undersea Warfare Center, Newport, RI, USA
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 2012
[16] A robust converted measurement Kalman filter for target tracking
Control Conference (CCC), 2012 31st Chinese, 2012
[17] Bias elimination in tracking with converted position and Doppler measurements.
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[18] Bias elimination in tracking with converted position and Doppler measurements
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[19] Tracking with converted position and Doppler measurements
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[20] Novel applications of the unscented transformation to 2-D CMKF tracking
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[21] Tracking with spherical-estimate-conditioned debiased converted measurements
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