Communications: directive radio wave systems and devices (e.g. – With particular circuit – Digital processing
Reexamination Certificate
2008-05-20
2008-05-20
Sotomayor, John B. (Department: 3662)
Communications: directive radio wave systems and devices (e.g.,
With particular circuit
Digital processing
C342S090000, C342S162000
Reexamination Certificate
active
11204630
ABSTRACT:
This invention relates to state estimation after processing time-delayed measurements with unknown biases that may vary arbitrarily in time within known physical bounds. These biased measurements are obtained from systems characterized by state variables and by multidimensional parameters, for which the latter are also unknown and may vary arbitrarily in time within known physical bounds. If a measurement is time-late, apply the measurements to an out-of-sequence filter using a mean square optimization criterion that accounts for all sources of uncertainty and delay time, to produce estimates of the true states of the system. If the measurement is not time-late, apply the measurements to an in-sequence filter using a mean square optimization criterion that accounts for all sources of uncertainty to produce estimates of the true states of the system. The estimates are applied to one of (a) making a decision, (b) operating a control system, and (c) controlling a process.
REFERENCES:
patent: 5432816 (1995-07-01), Gozzo
patent: 5825326 (1998-10-01), Semler et al.
patent: 6285971 (2001-09-01), Shah et al.
patent: 7009554 (2006-03-01), Mookerjee et al.
patent: 7180443 (2007-02-01), Mookerjee et al.
patent: 2005/0128138 (2005-06-01), McCabe et al.
patent: 2005/0179580 (2005-08-01), Cong et al.
patent: 62027679 (1987-02-01), None
patent: 03183982 (1991-08-01), None
patent: 03245080 (1991-10-01), None
patent: 05150038 (1993-06-01), None
Y. Bar-Shalom and T.E. Fortmann, Tracking and Data Association, San Diego, CA: Academic Press, Inc., 1988.
Y. Bar-Shalom, X.R. Li, and T. Kirubarajan, Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software. New York, NY: Wiley, 2001.
B. Friedland, “Treatment of Bias in Recursive Filtering,” IEEE Transactions on Automatic Control, pp. 359-367, vol. AC-14, No. 4, Aug. 1969.
D. Haessig and B. Friedland, “Separate-Bias Estimation with Reduced-Order Kalman Filters,” IEEE Transactions on Automatic Control, pp. 983-987, vol. 43, No. 7, Jul. 1998.
X.R. Li and V.P. Jilkov, “A Survey of Maneuvering Target Tracking—Part IV: Decision-Based Methods,” Proceedings of SPIE vol. 4728 (2002), pp. 511-534.
P. Mookerjee and F. Reifler, “Optimal Reduced State Estimators for Consistent Tracking of Maneuvering Targets with Single and Multiple Sensors,” (Submitted to IEEE Transactions on Aerospace and Electronic Systems).
G.J. Portman, J.R. Moore, and W.G. Bath, “Separated Covariance Filtering,” Record of the IEEE 1990 International Radar Conference, 1990, pp. 456-460.
Y. Bar-Shalom and X.R. Li,Multitarget-Multisensor Tracking: Principles and Techniques, p. 26 Storrs, CT: YBS Publishing, 1995.
P. Mookerjee and F. Reifler, “A Reduced State Estimator for Systems with Parametric Inputs,” to appear (in press) inIEEE Transactions on Aerospace and Electronic System.
Y. Bar-Shalom, M. Mallick, H. Chen, and R. Washburn, “One-Step Solution for the General Out-of-Sequence-Measurement Problem in Tracking,”Proceedings of 2002 IEEE Aerospace Conference Proceedings, vol. 4, pp. 1551-1559, 2002.
W.D. Blair and Y. Bar-Shalom, “Tracking Maneuvering Targets with Multiple Sensors: Does More Data Always Mean Better Estimates?”IEEE Transactions on Aerospace and Electronic Systems, pp. 450-456, vol. AES-32, No. 1, Jan. 1996.
K. Malakian and A. Vidmar, “New Track-to-track Association Logic for Almost Identical Multiple Sensors,”3rdNational Symposium on Sensor Fusion, Orlando, FL, Apr. 16-20, 1990, pp. 315-328.
P. Mookerjee and F. Reifler, “Application of Reduced State Estimation to Multisensor Fusion with Out-of-Sequence Measurements,” to appear (in press) in 2004IEEE Radar Conference, Philadelphia, PA. (To appear in the conference proceedings and accepted for oral presentation in Arp. 2004).
J.R. Moore and W.D. Blair, “Practical Aspects of Multisensor Tracking,” inMultitarget-Multisensor Tracking: Applications and Advances, vol. III, Y. Bar-Shalom and William Dale Blair, (ed.), Artech House, 2000, pp. 43-44.
Mookerjee Purusottam
Reifler Frank J.
Duane Morris LLP
Lockheed Martin Corporation
Sotomayor John B.
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