Daisheng Luo

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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 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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