Joint Multisensor Fusion and Tracking Using Distributed Radars

[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.