Analytical estimation of performance of a sensor system

Data processing: measuring – calibrating – or testing – Measurement system – Performance or efficiency evaluation

Reexamination Certificate

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C702S179000, C342S165000, C342S159000

Reexamination Certificate

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10485806

ABSTRACT:
The invention relates to a method for an analysis tool for analysis of the sensor performance of a system of sensors, which method comprises analytical calculation of a sensor system's measurement characteristics at each point in a given geographical area. The method comprises obtaining performance parameters from N sensors that are in the system. The method is characterized in that a set of analytical performance parameters for the system is calculated by the performance parameters being fused irrespective of the different measurement characteristics of the sensors in the system with regard to the given performance parameters and in that the analytical parameters are used in the analysis of the performance of the sensor system. The invention also relates to a device for use of the method and to the use of the method and the device.

REFERENCES:
patent: 5661666 (1997-08-01), Pawlak
patent: 5850625 (1998-12-01), Maren et al.
patent: 6801878 (2004-10-01), Hintz et al.
patent: 6882959 (2005-04-01), Rui et al.
patent: 6909997 (2005-06-01), Chen et al.
patent: 6944566 (2005-09-01), Chen et al.
patent: 7009554 (2006-03-01), Mookerjee et al.
patent: 2002/0062193 (2002-05-01), Lin
patent: 2002/0120374 (2002-08-01), Douros et al.
patent: 2003/0144795 (2003-07-01), Lin
patent: 2003/0184468 (2003-10-01), Chen et al.
patent: 2003/0186663 (2003-10-01), Chen et al.
patent: 2003/0191610 (2003-10-01), Chen et al.
patent: 2005/0021201 (2005-01-01), Klotz et al.
patent: 2005/0073433 (2005-04-01), Gunderson et al.
Andersson et al., “General Tracking Performance Description for Systems of Sensors”, IEEE, Jul. 8-11, 2002.
Kronhamn, “Surveillance Performance”, IEEE, 1995.
Gan et al; “Comparison of Two Measurement Fusion Methods for Kalman-Filter-Based Multisensor Data Fusion. In:” IEEE Transactions on Aerospace and Electronics Systems, pp. 273-279, Jan. 2001, vol. 37, Issue I.
Okello et al; “Design of Data Fusion System for Multiradar Target Detection”; International Conference on Systems, Man and Cybernetics, 1993, Conference Proceedings, pp. 672-677, vol. 3, Oct. 17-20, 1993, le Touquet, France.
Paschall et al; “Design and Analysis of an Intergrated Targeting System”; Proceedings of the IEEE, 1994 National Aerospace and Electronics Conference, 1994, Naecon 1994, pp. 937-944, vol. 2, May 23-27, 1994, Dayton, OH, USA.
Chang et al; “Performance Evaluation of Multisensor Track-To-Track Fusion”; International Conference on Multisenor Fusion and Intergration for Intelligent Systems, 1996, pp. 627-632, Dec. 8-11, 1996, Washington, DC, USA.
Kronhamn T.R., “Surveillance Performance”, Radar '95, IEEE International Radar Conference, 1995, Washington, USA.
“Comparison of the Measurement Fusion Methods for Kalman-Filter-Based Multisensor Data Fusion”, IEEE Transactions on Aerospace and Electronic Systems, vol. 37, No. 1, Jan. 2001, pp. 273-280.
Kronhamn, “Target Range Estimation with Cooperating Airborne Passive Sensors”, Radar 97, Publication No. 449, Oct. 14-16, 1997.

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