With the rapid increase in demand for the fifth-generation mobile communication technology (5G) in the BusinesstoBusiness (ToB) market, future factories, especially those involving a large number of Internet of Things...
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Nonsmooth nonlinear systems can model many practical processes with discontinuous property and are difficult to be stabilized by classical control methods like smooth nonlinear systems. This article considers the outp...
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Gravity energy storage (GES) has the advantages of high environmental adaptability, long life, high environmental protection, which have attracted the attention of more and more scholars in recent years. Efficiency is...
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The GPS-III navigation signal adopts the BOC modulation mode. The signal modulated by BOC will have multiple subpeaks when it is captured and tracked, so there is a large error caused by the subpeak wrong locked in th...
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A Geographical information- specific configuration for multiple emitter emulator is introduced in this paper. Using the EM wave environment-specific propagation modeling method during the process of signal generation ...
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In the paper, a transition method is developed for calculation of creeping ray tracing on NURBS patches. This transition method is presented in the paper for the transitions of creeping rays between adjacent parametri...
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Number of visible satellites and mask angle of the GPS satellites are two major factors to influence positioning error characteristics of GPS/INS integrated navigation. For GPS signals, there are shading effects in ur...
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A fusion algorithm combing Madgwick and extended Kalman filter (EKF) is proposed to solve the problem of low accuracy of micro inertial measurement unit and significant error of traditional attitude solution method. F...
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Learning-based monocular visual odometry (VO) has lately drawn significant attention for its robustness to camera parameters and environmental variations. Unlike most self-supervised learning-based methods, our approa...
Learning-based monocular visual odometry (VO) has lately drawn significant attention for its robustness to camera parameters and environmental variations. Unlike most self-supervised learning-based methods, our approach simultaneously focuses on the adjacent and interval co-visibility correspondence to improve the pose estimation. To handle different pixel displacements, we apply the Multi-scale Feature Fusion component for the full exploration of latent motion features. Besides, the Interval Feature Guided Refinement component is incorporated to adaptively exploit the continuity of camera motions and steer the network for retaining pose consistency in the time domain. Extensive experiments on the KITTI and Malaga datasets have demonstrated the promising performance of our approaches. The proposed method produces competitive results against classic algorithms and outperform state-of-the-art methods by up to 23.9 % and 15.4 % on average translational and rotational evaluation.
Synthetic aperture radar (SAR) imaging system is generally realized by fixed-point with the purpose of reducing system implementation scale and enhancing real-time performance. Finite word length computing error of fi...
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Synthetic aperture radar (SAR) imaging system is generally realized by fixed-point with the purpose of reducing system implementation scale and enhancing real-time performance. Finite word length computing error of fixed-point SAR imaging system is studied. The characteristic of computing error in SAR imaging system is analyzed. A finite word length computing error model of SAR imaging system is built, by means of which the empirical formula of system's output noise-to-signal ratio is derived. Based on the empirical formula, SAR imaging system processing word length is presented according to different processing granularities. The validity of this proposed finite word length computing error model of SAR imaging system is verified by system level fixed-point simulation.
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