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    • 3. 发明专利
    • SENSOR GROUP-CONTROLLING DEVICE
    • JP2000241540A
    • 2000-09-08
    • JP3860499
    • 1999-02-17
    • MITSUBISHI ELECTRIC CORP
    • NOMOTO KOHEI
    • G06F15/18G01S13/66G06N3/00
    • PROBLEM TO BE SOLVED: To obtain a sensor group-controlling device that is optimum for an application objective and can output target versus sensor assignment information for satisfying restrictions in terms of realization. SOLUTION: A sensor group-controlling device is provided with a plurality of target controllers 13 for outputting information regarding each target corresponding to a plurality of targets 1, a plurality of sensor controllers 12 for outputting each information corresponding to a plurality of sensors 2, a plurality of assignment effect calculators 14 that input the output of each target controller and that of each sensor controller and calculate each combination effect of each target and each sensor for outputting, a target function calculator 15 that inputs the output of each assignment effect calculator and calculates a objective function corresponding to a given virtual assignment for outputting, and an assignment determinator 17 that outputs the virtual assignment to the objective function calculator based on the objective function being outputted from the objective function calculator and at the same time outputs the virtual assignment at that time to each sensor as the target versus sensor assignment when the convergence of the value of the objective function is judged and the value converges.
    • 5. 发明专利
    • POSITION ESTIMATION APPARATUS
    • JPH09304520A
    • 1997-11-28
    • JP11783996
    • 1996-05-13
    • MITSUBISHI ELECTRIC CORP
    • MANIWA HISAKAZUNOMOTO KOHEIKOSUGE YOSHIO
    • G01S7/32G01S13/46
    • PROBLEM TO BE SOLVED: To obtain a position estimation apparatus by which the position of a target can be estimated at a high speed even when the number of targets is large by obtaining a rate at which measured data from any target and optimizing the temporary position of a target alternately. SOLUTION: Sorting data in which a possibility factor, by which measured data and a center position regarding every target are obtained from a target, is set for every target is input, and a cluster characteristic data optimization data which is expressed by a group of temporary positions of the target in such a way that the difference between the measured data and the center position becomes small. In addition, in a sorting-data optimization means 13, the cluster characteristic data, the measured data and the center position are input, a new possibility factor by which every measured data is obtained from every data is reset for every target in such a way that the difference between the measured data and the center position becomes small, and the new possibility factor is output, as new sorting data, to the cluster characteristic data optimization means 12 and to a sorting evaluation and calculation means 14. Then, a sorting evaluation value is calculated by a sorting evaluation and calculation means 14 so as to be processed.
    • 6. 发明专利
    • SORTER
    • JPH09145823A
    • 1997-06-06
    • JP30463795
    • 1995-11-22
    • MITSUBISHI ELECTRIC CORP
    • MANIWA HISAKAZUNOMOTO KOHEIKOSUGE YOSHIO
    • G01S7/292G01S7/32
    • PROBLEM TO BE SOLVED: To enable the execution of automatic sorting even if the property of each cluster is unknown and the properties are different by repeating the sorting of mixed data while changing the values showing the properties of plural clusters which become criteria for sorting to be evaluated. SOLUTION: A sorting part 2 by each cluster number receives the mixed radar pulse data 80 from the outside and a cluster number 81 from an initial cluster number select part 1, sets and updates sorting data and dispersion of clusters, and outputs mixed radar pulse data 80, a cluster number 81, sorting data 82, and dispersion 83 of clusters. A cluster number select part 3 computes the evaluation value 84 of the cluster number by inputting the above. It is evaluated whether the number of clusters is proper or not, and if sorting is not proper, the number of clusters is changed by a cluster number changing part 4 to be again processed by the sorting part 2 by each cluster number.