Results 21 to 30 of about 321,013 (282)
GPS Carrier Tracking Loop Performance in the presence of Ionospheric Scintillations [PDF]
, 2005 The performance of several GPS carrier tracking loops is evaluated using wideband GPS data recorded during strong ionospheric scintillations. The aim of this study is to determine the loop structures and parameters that enable good phase tracking ...
Humphreys, Todd E. +2 more
core +1 more source
IEEE Access, 2019 The distributed cubature Kalman filter is widely used in the field of target tracking, however, the presence of model uncertainties will undermine its tracking stability and effectiveness for tracking maneuvering target. In order to eliminate this effect
Zheng Zhang +5 more
doaj +1 more source
Target Tracking Algorithm Based on Adaptive Multi-Model Joint [PDF]
Jisuanji gongcheng, 2019 The tracking algorithm based on Kernelized Correlation Filter(KCF) has strong dependence on the spatial structure of the target,cannot effectively deal with the occlusion,deformation and other interference factors,and the single feature model is unable ...
WANG Renhua, SHEN Jianyu, JIANG Min
doaj +1 more source
Orbit Determination and Thrust Estimation for Noncooperative Target Using Angle-Only Measurement
Space: Science & Technology, 2023 The classical interactive multimodel (IMM) algorithm has some disadvantages in tracking a noncooperative continuous thrust maneuvering spacecraft, such as poor steady-state accuracy, difficult selection of subfilter parameters, and mismatched model jump.
Zhixun Zhang +6 more
doaj +1 more source
Systems Science & Control Engineering, 2021 This paper focuses on the fault estimation problem for a class of nonlinear systems with sensor gain degradation and stochastic protocol (SP) based on strong tracking filtering.
Jie Xu, Li Sheng, Ming Gao
doaj +1 more source
Sensors, 2021 Assuming that the measurement and process noise covariances are known, the probability hypothesis density (PHD) filter is effective in real-time multi-target tracking; however, noise covariance is often unknown and time-varying for an actual scene.
Zhentao Hu +4 more
doaj +1 more source
Application of Strong Tracking Cubature Kalman Filter in Air-to-Air Missile Guidance [PDF]
Hangkong bingqiA strong tracking cubature Kalman filter(STCKF) method is proposed to overcome the challenges of insufficient nonlinear approximation capability and decreased tracking accuracy of traditional filtering algorithms in dealing with complex maneuvering ...
Liang Jinxin, Tang Qi, Cui Hao, Zhang Gongping
doaj +1 more source
Research on deep correlation filter tracking based on channel importance
EURASIP Journal on Advances in Signal Processing, 2022 Correlation filter tracking requires little prior knowledge of the tracking target (e.g., the shape, and the posture) but has a fast-tracking speed. The deep features extracted by the deep convolutional neural network have strong representation ability ...
Guosheng Yang, Chunting Li, Honglin Chen
doaj +1 more source
Privacy in Inter-Vehicular Networks: Why simple pseudonym change is not enough [PDF]
, 2010 Inter-vehicle communication (IVC) systems disclose rich location information about vehicles. State-of-the-art security architectures are aware of the problem and provide privacy enhancing mechanisms, notably pseudonymous authentication.
Kargl, F. +3 more
core +4 more sources
An Improved Strong Tracking Kalman Filter Algorithm for the Initial Alignment of the Shearer
Complexity, 2019 The strap-down inertial navigation system (SINS) is a commonly used sensor for autonomous underground navigation, which can be used for shearer positioning under a coal mine.
Yuming Chen +4 more
doaj +1 more source