Joint Multisensor Fusion and Tracking Using Distributed Radars
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[1] Paul F. Easthope. Observability of sensor biases using multiple track reports , 1999, Optics & Photonics.
[2] H.F. Durrant-Whyte,et al. A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.
[3] Fulvio Gini,et al. Least Squares Estimation and Cramér–Rao Type Lower Bounds for Relative Sensor Registration Process , 2011, IEEE Transactions on Signal Processing.
[4] Egils Sviestins. Bias estimation for multisensor tracking , 2000, SPIE Defense + Commercial Sensing.
[5] Yaakov Bar-Shalom,et al. Multisensor target-tracking performance with bias compensation , 2005, SPIE Optics + Photonics.
[6] T. Okada,et al. Position estimation of three‐dimensional radars with bias errors , 2004 .
[7] Theodore R. Rice,et al. Sensor alignment and compensation for composite tracking , 2002, SPIE Defense + Commercial Sensing.
[8] Y. Bar-Shalom,et al. Unbiased converted measurements for tracking , 1998 .
[9] Oddvar Hallingstad,et al. Aircraft Altitude Prediction Using Mode C Measurements , 2007 .
[10] Jia-Zhou He,et al. New registration algorithm of sensor in ECEF coordinate system , 2008, 2008 5th International Multi-Conference on Systems, Signals and Devices.
[11] X. R. Li,et al. Measures of performance for evaluation of estimators and filters , 2001 .
[12] Henry Leung,et al. An exact maximum likelihood registration algorithm for data fusion , 1997, IEEE Trans. Signal Process..
[13] Y. Kosuge,et al. Statistical analysis for radar bias error estimation in a data fusion system of 3-dimensional radars , 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.
[14] Chongzhao Han,et al. Optimal linear estimation fusion .I. Unified fusion rules , 2003, IEEE Trans. Inf. Theory.
[15] J. J. Sudano. An exact conversion from an Earth-centered coordinate system to latitude, longitude and altitude , 1997, Proceedings of the IEEE 1997 National Aerospace and Electronics Conference. NAECON 1997.
[16] G. de Miguel Vela,et al. New approach to online optimal estimation of multisensor biases , 2004 .
[17] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[18] W. Dale Blair,et al. One-step fixed-lag interacting multiple model (IMM) smoothing for alignment of asynchronous sensors , 1994, Defense, Security, and Sensing.
[19] Simon J. Julier,et al. The scaled unscented transformation , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[20] Peter S. Maybeck,et al. Stochastic Models, Estimation And Control , 2012 .
[21] N. Chater,et al. Similarity as transformation , 2003, Cognition.
[22] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[23] LI X.RONG,et al. Best linear unbiased filtering with nonlinear measurements for target tracking , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[24] U. Fayyad,et al. Comments on " Unbiased Converted Measurements for Tracking " , 2022 .
[25] Yongqing Qi,et al. New method for dynamic bias estimation: Gaussian mean shift registration , 2008 .
[26] Chongzhao Han,et al. Optimal Linear Estimation Fusion — Part I : Unified Fusion Rules , 2001 .
[27] John Y. Hung,et al. A state estimator with reduced sensitivity to sensor quantization , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).
[28] Anna Freud,et al. Design And Analysis Of Modern Tracking Systems , 2016 .
[29] A. Farina,et al. An EM-based approach to the relative sensor registration in multi-target scenarios , 2012, 2012 IEEE Radar Conference.
[30] Oliver E. Drummond,et al. Tracklets and a hybrid fusion with process noise , 1997, Optics & Photonics.
[31] Y. Bar-Shalom. Mobile radar bias estimation using unknown location targets , 2000, Proceedings of the Third International Conference on Information Fusion.
[32] Peter H. Zipfel,et al. Modeling and Simulation of Aerospace Vehicle Dynamics, Second Edition , 2007 .
[33] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[34] Paul F. Easthope. Prototype system for multisensor tracking with sensor bias correction , 2000, SPIE Defense + Commercial Sensing.
[35] Torbjörn Wigren,et al. Nonlinear techniques for Mode C climb/descent rate estimation in ATC systems , 2001, IEEE Trans. Control. Syst. Technol..
[36] Yoon Hak Kim. Distributed estimation based on quantized data , 2011, IEICE Electron. Express.
[37] Samuel S. Blackman,et al. Track association using correction for bias and missing data , 1994, Defense, Security, and Sensing.
[38] G. de Miguel Vela,et al. Radar bias correction based on GPS measurements for ATC applications , 2002 .
[39] S. Challa,et al. Joint sensor registration and track-to-track fusion for distributed trackers , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[40] S. Rhodes. Real time detection and compensation of registration errors in a network of radars , 2002 .
[41] Stephen B. Vardeman,et al. Likelihood-based statistical estimation from quantized data , 2005, IEEE Transactions on Instrumentation and Measurement.
[42] T. R. Rice,et al. Removal of alignment errors in an integrated system of two 3-D sensors , 1993 .
[43] Zhansheng Duan,et al. State estimation with quantized measurements: Approximate MMSE approach , 2008, 2008 11th International Conference on Information Fusion.
[44] Rudolph van der Merwe,et al. The square-root unscented Kalman filter for state and parameter-estimation , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[45] J.A. Besada,et al. Design of an A-SMGCS prototype at Barajas airport: airport surveillance sensors bias estimation , 2005, 2005 7th International Conference on Information Fusion.
[46] D. Rajan. Probability, Random Variables, and Stochastic Processes , 2017 .
[47] S. Julier,et al. A General Method for Approximating Nonlinear Transformations of Probability Distributions , 1996 .
[48] James H. Taylor. The Cramer-Rao estimation error lower bound computation for deterministic nonlinear systems , 1978 .
[49] Oliver E. Drummond,et al. Feedback in track fusion without process noise , 1995, Optics & Photonics.
[50] Zhansheng Duan,et al. Posterior Cramer-Rao Bounds for State Estimation with Quantized Measurement , 2008, 2008 40th Southeastern Symposium on System Theory (SSST).
[51] Aubrey B. Poore,et al. Nonlinear least-squares estimation for sensor and navigation biases , 2006, SPIE Defense + Commercial Sensing.
[52] O. Hallingstad,et al. Estimability of Sensor Alignment Biases Using the Static Cramer Rao Lower Bound , 2008 .
[53] Theodore R. Rice,et al. Multisensor-multisite composite tracking in the presence of sensor residual bias , 1999, Optics & Photonics.
[54] Oliver E. Drummond,et al. Track fusion with feedback , 1996, Defense, Security, and Sensing.
[55] T. Kirubarajan,et al. Bias Estimation for Distributed Radars in 3D , 2007, 2007 IEEE Aerospace Conference.
[56] Behzad Moshiri,et al. A new algorithm for general asynchronous sensor bias estimation in multisensor-multitarget systems , 2007, 2007 10th International Conference on Information Fusion.
[57] Oliver E. Drummond,et al. Hybrid sensor fusion algorithm architecture and tracklets , 1997, Optics & Photonics.
[58] Niclas Bergman,et al. Recursive Bayesian Estimation : Navigation and Tracking Applications , 1999 .
[59] Theodore R. Rice,et al. Sensor bias estimation and compensation for improved track correlation , 2001, SPIE Defense + Commercial Sensing.
[60] Y. Bar-Shalom,et al. Exact multisensor dynamic bias estimation with local tracks , 2004, IEEE Transactions on Aerospace and Electronic Systems.
[61] R.Y. Novoselov,et al. Mitigating the effects of residual biases with Schmidt-Kalman filtering , 2005, 2005 7th International Conference on Information Fusion.
[62] X. Rong Li,et al. Best linear unbiased filtering for target tracking with spherical measurements , 2003, SPIE Optics + Photonics.
[63] Aubrey B. Poore,et al. Joint MAP bias estimation and data association: simulations , 2007, SPIE Optical Engineering + Applications.
[64] Karim Salahshoor,et al. Asynchronous Sensor Bias Estimation in Multisensor-Multitarget Systems , 2006, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems.
[65] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[66] Yunmin Zhu,et al. Optimal linear unbiased filtering with polar measurements for target tracking , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[67] Aubrey B. Poore,et al. Bias estimation using targets of opportunity , 2007, SPIE Optical Engineering + Applications.
[68] Man Ying,et al. 3D asynchronous multisensor target tracking performance with bias compensation , 2010, 2010 2nd International Conference on Computer Engineering and Technology.
[69] Carlos H. Muravchik,et al. Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..
[70] T. Kirubarajan,et al. Multisensor multitarget bias estimation for general asynchronous sensors , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[71] Yakov Bar-Shalom,et al. Multitarget-Multisensor Tracking: Principles and Techniques , 1995 .
[72] Zhongliang Jing,et al. General solution for asynchronous sensors bias estimation , 2008, 2008 11th International Conference on Information Fusion.
[73] Fulvio Gini,et al. On the identifiability problem in the presence of random nuisance parameters , 2012, Signal Process..
[74] Aubrey B. Poore,et al. Joint MAP bias estimation and data association: algorithms , 2007, SPIE Optical Engineering + Applications.
[75] Hiroshi Kameda,et al. A study of bias error estimation method by KGBE , 2010, 2010 IEEE International Conference on Control Applications.
[76] Rudolph van der Merwe,et al. The unscented Kalman filter for nonlinear estimation , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).
[77] Oliver E. Drummond. Track and tracklet fusion filtering , 2002, SPIE Defense + Commercial Sensing.
[78] Theodore R. Rice,et al. Assessment metrics for absolute sensor alignment , 2002, SPIE Defense + Commercial Sensing.
[79] S.J. Davey,et al. Asynchronous sensor registration via Expectation Maximisation , 2008, 2008 International Conference on Radar.
[80] G. W. Pulford,et al. Simultaneous registration and tracking for multiple radars with cluttered measurements , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[81] R. Bucy,et al. Digital synthesis of non-linear filters , 1971 .
[82] James H. Taylor. The Cramer-Rao estimation error lower bound computation for deterministic nonlinear systems , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.
[83] R. Bishop,et al. Solution to a multisensor tracking problem with sensor registration errors , 1999 .
[84] Yifeng Zhou,et al. Sensor alignment with Earth-centered Earth-fixed (ECEF) coordinate system , 1999 .
[85] W.D. Blair,et al. Estimation of sensor bias in multisensor systems , 1992, Proceedings IEEE Southeastcon '92.
[86] Thiagalingam Kirubarajan,et al. Multisensor bias estimation using local tracks without a priori association , 2003, SPIE Optics + Photonics.
[87] António Manuel Santos Pascoal,et al. An Observability Metric for Underwater Vehicle Localization Using Range Measurements , 2013, Sensors.
[88] Fulvio Gini,et al. Least squares estimation and hybrid Cramér-Rao lower bound for absolute sensor registration , 2012, 2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS).
[89] Henry Leung,et al. An Expectation Maximization Based Simultaneous Registration and Fusion Algorithm for Radar Networks , 2006, 2006 Canadian Conference on Electrical and Computer Engineering.