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This paper considers the detection problem and its realistic implementation for multiple-input multiple-output (MIMO) radar with widely separated antennas. In particular, since the range cells of different transmit-receive channels are not in superposition, but intersecting with each other, it is difficult to determine, by gathering measurements from all transmit-receive channels, whether a target...
In this paper, a new centralized algorithm is developed to estimate the registration error and target states jointly based on the generalized labeled multi-Bernoulli (GLMB) filter. The bias pseudo-measurements are calculated with the tracks generated by the GLMB filter. Then, the bias estimates are computed to compensate the measurements for multi-target tracking. Since the estimates of the sensor...
The Fisher information matrix is applied to evaluate the performance of three different navigation methods for the constellation around the libration points. Where the X-ray pulsar relative navigation is the main method, and the starlight Doppler relative navigation and the intersatellite links are integrated with it respectively. Their measurement quantities are respectively the time difference of...
A real-time multi-mode robust filtering method is proposed for the large thrust and slow spin characteristics of the rocket above the flight stage. The rocket upper stage in the sliding section of the existence of slow spin characteristics, which will lead to ground measurement equipment tracking instability, poor measurement data quality. In order to solve this problem, the robustness theory and...
Data from three-way measurement is a kind of important observing data for deep space probes. By utilizing this data, this paper presents an algorithm to calculate the real-time position of deep space probes based on UKF (unscented Kalman Filter). The observing model and forecast method using the three-way measurement are given with the implementation method via dynamic modeling and non-dynamic modeling...
In order to solve the problem that asynchronous multi-source multi-track cannot be correlated effectively, a trajectory similarity model for asynchronous multi-source multi-track and a track correlation algorithm based on this model are proposed in this paper. Based on the idea of searching potential matched data points under spatial and temporal constraints, the optimal matched point is determined...
For highly nonlinear problems, the linear minimum mean-square error (LMMSE) estimation using a nonlinearly converted measurement can outperform the one using the original measurement. For a function space of measurement conversions, every function in the space can be represented as a linear combination of a basis of the space. Then the LMMSE estimator using a vector with its entries forming a basis...
A great deal of interest has been paid to computation problem of Dezert-Smarandache theory (DSmT). But there are still problems on complex analysis and frequently search. The computational measurement of DSmT is presented in which the computation is generated in the search for focal elements, the combination of focal elements and basic belief assignment, the expression of focal elements. A new DSmT...
Traffic control and vehicle route planning require accurate estimates of the traffic state in order to be successfully implemented. This estimation problem can be solved by using particle filters in conjunction with macroscopic traffic models such as the stochastic compositional model. The accuracy of the estimates can be decreased for road segments where there are no measurements available. However,...
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