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—Interacting Multiple Model (IMM) estimator can provide better performance over the single model Kalman filter. In multi-sensor system ordinarily, availability of measurement from different sensors is stochastic, and it is difficult to construct uniform global observation vector and observation matrix appropriately in current method. Then an IMM estimator(More)
To improve space target tracking precision and the stability of mobile optoelectronic tracking equipment, an error-space estimation method based on the Kalman filter is discussed, and a simplified algorithm is presented to reduce calculation cost. Based on an available measurement of a space target without sufficient validity and accuracy, the actual(More)
Study of mechanism of medicine actions, by quantitative analysis of cultured cardiac myocyte, is one of the cutting edge researches in myocyte dynamics and molecular biology. The characteristics of cardiac myocyte auto-beating without external stimulation make the research sense. Research of the morphology and cardiac myocyte motion using image analysis can(More)
01 The application value of three-dimensional rotational angiography of intracranial micro-aneurysms in diagnosis and treatment Aims To evaluate the diagnostic value of three-dimensional rota-tional angiography (3D-RA) of intracranial micro-aneurysms (diameter ≤ 3 mm) and provide guidance on the value of endo-vascular treatment. Materials and methods 43(More)
To improve spatial target tracking precision and stability of mobile photoelectric tracking equipment, state estimation and prediction of the target with high accuracy is necessary. An improved error-space estimate method with time correction is presented to estimate and predict the state of spatial target accurately for the mobile tracking equipment. By(More)
Interacting Multiple Model (IMM) estimator can provide better performance of target tracking than mono model Kalman filter. In multi-sensor system ordinarily, availability of measurement from different sensors is stochastic, and it is difficult to construct uniform global observation vector and observation matrix appropriately in existing method. An IMM(More)
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