Sensor Scheduling for Space Object Tracking and Collision Alert
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Genshe Chen | Khanh Pham | Huimin Chen | Dan Shen | Genshe Chen | Dan Shen | K. Pham | Huimin Chen
[1] W. Gilks,et al. Following a moving target—Monte Carlo inference for dynamic Bayesian models , 2001 .
[2] Harry L. Van Trees,et al. Detection, Estimation, and Modulation Theory, Part I , 1968 .
[3] Panos M. Pardalos,et al. Mathematical Programming Techniques for Sensor Networks , 2009, Algorithms.
[4] Erik Blasch,et al. Comparison of several space target tracking filters , 2009, Defense + Commercial Sensing.
[5] P. Houtekamer,et al. Data Assimilation Using an Ensemble Kalman Filter Technique , 1998 .
[6] H. V. Trees. Detection, Estimation, And Modulation Theory , 2001 .
[7] G. Evensen. Data Assimilation: The Ensemble Kalman Filter , 2006 .
[8] Alfred O. Hero,et al. An Information-Based Approach to Sensor Management in Large Dynamic Networks , 2007, Proceedings of the IEEE.
[9] Gérard Verfaillie,et al. Selecting and scheduling observations of agile satellites , 2002 .
[10] Dinh-Tuan Pham,et al. Improving the singular evolutive extended Kalman filter for strongly nonlinear models for use in ocean data assimilation , 2001 .
[11] Andrew P. Sage,et al. Estimation theory with applications to communications and control , 1979 .
[12] F. Daum. Nonlinear filters: beyond the Kalman filter , 2005, IEEE Aerospace and Electronic Systems Magazine.
[13] Dimitri P. Bertsekas,et al. Dynamic Programming and Optimal Control, Two Volume Set , 1995 .
[14] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[15] Cheng-Shang Chang,et al. Birkhoff-von Neumann input buffered crossbar switches , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).
[16] Vesselin P. Jilkov,et al. A survey of maneuvering target tracking: approximation techniques for nonlinear filtering , 2004, SPIE Defense + Commercial Sensing.
[17] Nevio Carpanese. Periodic Riccati difference equations: approaching equilibria by implicit systems , 2000, IEEE Trans. Autom. Control..
[18] Hugh F. Durrant-Whyte,et al. A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..
[19] Panos M. Pardalos,et al. Robust multi-sensor scheduling for multi-site surveillance , 2011, J. Comb. Optim..
[20] Sudipto Guha,et al. Approximation algorithms for budgeted learning problems , 2007, STOC '07.
[21] John N. Tsitsiklis,et al. The Complexity of Optimal Queuing Network Control , 1999, Math. Oper. Res..
[22] Dimitrios Charalampidis,et al. Designing Collision Alert System for Space Situational Awareness , 2010 .
[23] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.
[24] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[25] J. Niño-Mora. RESTLESS BANDITS, PARTIAL CONSERVATION LAWS AND INDEXABILITY , 2001 .
[26] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[27] John N. Tsitsiklis,et al. The complexity of optimal queueing network control , 1994, Proceedings of IEEE 9th Annual Conference on Structure in Complexity Theory.
[28] Huimin Chen,et al. Orbital Evasive Target Tracking and Sensor Management , 2010 .
[29] Genshe Chen,et al. A range rate based detection technique for tracking a maneuvering target , 2005, SPIE Optics + Photonics.
[30] P. Whittle. Restless bandits: activity allocation in a changing world , 1988, Journal of Applied Probability.
[31] F. Daum. Exact finite dimensional nonlinear filters , 1985, 1985 24th IEEE Conference on Decision and Control.
[32] M. Kalandros. Covariance control for multisensor systems , 2002 .
[33] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.