Results 31 to 40 of about 68,495 (163)
Information, 2023 This paper addresses the multi-sensor fusion target tracking problem based on maximum mixture correntropy in non-Gaussian noise environments exclusively using Doppler measurements.
Changyu Yi, Minzhe Li, Shuyi Li
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International Journal of Distributed Sensor Networks, 2018 A distributed extended information filter-based interacting multiple model estimator with unbiased mixing is proposed for satellite launch vehicle tracking.
Haryong Song, Yongtae Choi
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IEEE Access, 2018 Kalman filter (KF) is a widely used technique to obtain health condition in aero engine health management, and each kind of measurement is commonly assumed to be collected and tackled simultaneously from one sensor in the KF for state tracking in ...
Feng Lu +3 more
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The Square Root Information Increment Ensemble Filter
Monthly Weather Review, 2016 AbstractA new type of ensemble filter is developed, one that stores and updates its state information in an efficient square root information filter form. It addresses two shortcomings of conventional ensemble Kalman filters: the coarse characterization of random forecast model error effects and the overly optimistic approximation of the estimation ...
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Sensors, 2023 We present a method to acquire 3D position measurements for decentralized target tracking with an asynchronous camera network. Cameras with known poses have fields of view with overlapping projections on the ground and 3D volumes above a reference ground
Thiago Marchi Di Gennaro +1 more
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Plant Production Science, 2013 In this study, a deterministic algorithm named Ensemble Square Root Filter (EnSRF), an algorithm significantly improved from the Ensemble Kalman Filter (EnKF), was used to integrate remotely sensed information (ASD spectral data, HJ-1 A/B CCD and Landsat-
Yan Huang +4 more
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Vehicle Pose Estimation Method Based on Maximum Correntropy Square Root Unscented Kalman Filter
Applied SciencesSimultaneous Localization and Mapping (SLAM) is an effective method for estimating and correcting the pose of the mobile robot. However, a large amount of external noise and observed outliers in complex unknown environments often lead to a decrease in ...
Shuyu Liu, Ying Guo
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ISPRS International Journal of Geo-Information, 2015 Surveying the Earth’s gravity field refers to an important domain of Geodesy, involving deep connections with Earth Sciences and Geo-information. Airborne gravimetry is an effective tool for collecting gravity data with mGal accuracy and a spatial ...
Lei Zhao +5 more
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Unscented Trainable Kalman Filter Based on Deep Learning Method Considering Incomplete Information
IEEE Access, 2023 Rapid changes of states and occurrence of data missing in power systems cause accurate state estimation very hard. In this paper, an unscented trainable Kalman filter (UTKF) with a deep learning prediction model is proposed to provide accurate state ...
Yanjie Yu, Qiang Li, Houyi Zhang
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Sensor Fusion with Square-Root Cubature Information Filtering
Intelligent Control and Automation, 2013 This paper derives a square-root information-type filtering algorithm for nonlinear multi-sensor fusion problems using the cubature Kalman filter theory. The resulting filter is called the square-root cubature Information filter (SCIF). The SCIF propagates the square-root information matrices derived from numerically stable matrix operations and is ...
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