Method for integration processing of comprehensive track data
A technology of data fusion and processing methods, which is applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., and can solve problems such as the inability to fully realize the comprehensive information fusion and exchange process of track and flight plan.
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Embodiment 1
[0158] Embodiment 1: In step 2, the time synchronization operation is performed on the normal data output by different control centers through the least squares time registration method, and the process of time synchronizing the comprehensive data at different periods and at different times is: Assumption a, ( , is a natural number) is the adjacent control center, and its comprehensive track data output period is respectively and , and the ratio of the two is (n is a positive integer), if the control center a’s latest comprehensive track output time for the target state is ( , is a natural number), the next integrated track output time is , which means that the control center a between two consecutive outputs of the integrated track of the target state Have Secondary integrated track output. control center by the method of least squares of The second integrated track data is fitted into a virtual integrated track data as the first of the moment int...
Embodiment 2
[0175] Embodiment 2: The error processing in step 3 includes random error processing (random error can be well eliminated by the fusion algorithm during the fusion process) and system error processing. The random error is caused by the precision error factor of each monitoring equipment in the control center; the system error is caused by the coordinate conversion formula using the approximate algorithm and other factors. Random errors can be eliminated very well through fusion algorithms during the fusion process, while systematic errors are a kind of fixed errors that cannot be automatically eliminated by fusion algorithms. They must be estimated during the implementation process, and error compensation is performed on each control center to eliminate Registration error.
[0176] The systematic error is registered using the least squares method. The specific method is: within a period of time, the same target appears in the overlapping area of the control areas of the two...
Embodiment 3
[0191] Embodiment 3: In the step 5, the integrated track data fusion of the normal data is carried out by using the federated filter no-resetmode (NR) algorithm, and the specific steps are:
[0192] (3) Establish a mathematical model
[0193] Target motion state equation and measurement equation:
[0194] (1-1)
[0195] in: is the first The system state vector at time, is the state transition matrix of the system (note: here denote real vector spaces and real matrix spaces). is the measurement vector of the control center system (that is, the integrated track data output by the control center), Measurement matrix for the control center system, assuming is the control center system noise vector, is the control center system measurement noise vector, where and is Gaussian white noise with 0 mean value, then:
[0196] , , (1-2)
[0197] (1-3)
[0198]
[0199] (Note: k and j here represent time and are both positive real numbers) represents the...
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