Detection And Prediction In An Electronic System
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Abstract
A method and an arrangement in electronic systems. Uncertainties are handled in a special way. The uncertainties can regard a parameter that is to be determined or uncertainties in signals or data that constitute a basis for a determination of the sought parameter. There is often also a time-critically within the application. In certain applications, changes can be rapid and the invention can also handle such dynamic processes. Detection and prediction in electronic systems are carried out.
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Citations
46 Claims
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1-19. -19. (canceled)
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20. A method in electronic systems for automatic detection in military command applications, where uncertainties about an opponent'"'"'s or other parties'"'"' intentions and courses of actions are handled by probability measures, and where the detection process is using a selection of physical objects'"'"' capability oriented parameters, and where the present said method also is adapted to joint and complex operations by the method'"'"'s handling of uncertainties for early detection performance by inclusion of various probability oriented method steps, said method comprising:
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a. structuring the detection process in a top-down objective oriented process, called “
objop” and
an observation oriented process called “
obsop”
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a1. where objop is based on estimations on selected needs or operational partial or end goals, and comprises (b)-(d);
b. selecting at least one of the said physical objects'"'"' capability oriented parameters from the parameter group of capability, functional capacity and action resource for contributing in the process of possibly achieving said operational partial or end goals, according to at least one of (b1)-(b5);
b1. selecting capabilities, b2. selecting functions with selected capacities, b3. selecting actions with selected resources b4. selectively transforming capabilities to functions with selected capacities, b5. selectively transforming capabilities or functions with selected capacities to actions with selected resources;
c. quantifying into selected units at least one of the parameters in the parameter group of (b);
d. selectively using the said quantities of parameters for estimating contributions in achieving the said operational partial or end goals;
e. where obsop is based on observations on the developed situation, including observations on at least one of (e1) and (e2);
e1. observations on at least one of;
achieved partial or end results and results from used capabilities or function capacities or actions with resources;
e2. observations on at least one of;
capabilities, functions with capacities, actions with resources and resources with possibly related parameters from the said parameter group of action resources, function capacities and capabilities;
e3. and where obsop is based on at least one of the following sources of information;
sensors with sensor information, other sources with information derived from sensors and stored information related to (e1) or (e2) above from various file systems, various network-connected computer-based sources or from network-based sources of Internet-like types of systems;
f. selectively transforming obtained information from any of (e)-(e3) to at least one of the parameters from the said parameter group, and selecting the corresponding quantity unit as in (c);
g. selecting corresponding parameters from the objop process (c) and the obsop process (f);
h. comparing the said corresponding parameters regarding types and quantities; and
i. estimating the detection probability, based on the observation (f), for at least one of;
the objop parameter in (g), the said objop based needs and operational partial or end goals. - View Dependent Claims (21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43)
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42. An arrangement in electronic systems for automatic detection in military command applications, where uncertainties about an opponent'"'"'s or other parties'"'"' intentions and courses of actions are handled by probability measures, and where the detection process is using a selection of physical objects'"'"' capability oriented parameters, and where the present said method also is adapted to joint and complex operations by the method'"'"'s handling of uncertainties for early detection performance by inclusion of various probability oriented method steps, and said arrangement comprising:
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a. means for structuring the detection process in a top-down objective oriented process, called “
objop” and
an observation oriented process called “
obsop”
,a1. where objop is based on estimations on selected needs or operational partial or end goals, and comprises (b)-(d), b. means for selecting at least one of the said physical objects'"'"' capability oriented parameters from the parameter group of capability, functional capacity and action resource for contributing in the process of possibly achieving said operational partial or end goals, according to at least one of (b1)-(b5);
b1. selecting capabilities, b2. selecting functions with selected capacities, b3. selecting actions with selected resources, b4. selectively transforming capabilities to functions with selected capacities, b5. selectively transforming capabilities or functions with selected capacities to actions with selected resources, c. means for quantifying into selected units at least one of the parameters in the parameter group of (b), d. means for selectively using the said quantities of parameters for estimating contributions in achieving the said operational partial or end goals, e. where obsop is based on observations on the developed situation, including observations on at least one of (e1) and (e2), e1. observations on at least one of;
achieved partial or end results and results from used capabilities or function capacities or actions with resources,e2. observations on at least one of;
capabilities, functions with capacities, actions with resources and resources with possibly related parameters from the said parameter group of action resources, function capacities and capabilities,e3. and where obsop is based on at least one of the following sources of information;
sensors with sensor information, other sources with information derived from sensors and stored information related to (e1) or (e2) above from various file systems, various network-connected computer-based sources or from network-based sources of Internet-like types of systems,f. means for selectively transforming obtained information from any of (e)-(e3) to at least one of the parameters from the said parameter group, and selecting the corresponding quantity unit as in (c), g. means for selecting corresponding parameters from the objop process (c) and the obsop process (f), and h. means for comparing the said corresponding parameters regarding types and quantities, and i. means for estimating the detection probability, based on the observation (f), for at least one of;
the objop parameter in (g), the said objop based needs and operational partial or end goals. - View Dependent Claims (44, 45, 46)
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Specification