Bearings-Only Filtering Using Uncorrelated Conversion Based Filters

[1]  X. Rong Li,et al.  Multiple Conversions of Measurements for Nonlinear Estimation , 2017, IEEE Transactions on Signal Processing.

[2]  Carlos H. Muravchik,et al.  Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..

[3]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[4]  K. Gong,et al.  Fundamental properties and performance of conventional bearings-only target motion analysis , 1984 .

[5]  Sanjeev Arulampalam,et al.  Comparison of nonlinear filtering algorithms in ground moving target indicator (GMTI) tracking , 2003, SPIE Optics + Photonics.

[6]  V. Aidala,et al.  Utilization of modified polar coordinates for bearings-only tracking , 1983 .

[7]  A. Jazwinski Stochastic Processes and Filtering Theory , 1970 .

[8]  Anna Freud,et al.  Design And Analysis Of Modern Tracking Systems , 2016 .

[9]  You Sun,et al.  Uncorrelated Conversion Based Filtering for Angle-Only Tracking in Modified Spherical Coordinates , 2018, 2018 Chinese Automation Congress (CAC).

[10]  C. Jauffret,et al.  Observability in passive target motion analysis , 1996 .

[11]  B. Ristic,et al.  Performance Bounds for Manoeuvring Target Tracking Using Asynchronous Multi-Platform Angle-Only Measurements , 2001 .

[12]  Kazufumi Ito,et al.  Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..

[13]  X. Rong Li,et al.  Practical approach to observability of bearings-only target tracking , 1999, Optics & Photonics.

[14]  C. Jauffret,et al.  Recursive Bearings-Only TMA via Unscented Kalman Filter: Cartesian vs. Modified Polar Coordinates , 2008, 2008 IEEE Aerospace Conference.

[15]  S. Bhaumik,et al.  Bearing only tracking using Gauss-Hermite filter , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[16]  M. Xin,et al.  Hermite Polynomial Uncorrelated Conversion Filter for Bearings-Only Tracking , 2017 .

[17]  N. Peach,et al.  Bearings-only tracking using a set of range-parameterised extended Kalman filters , 1995 .

[18]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[19]  W. Hager,et al.  and s , 2019, Shallow Water Hydraulics.

[20]  Nando de Freitas,et al.  Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.

[21]  Branko Ristic,et al.  Comparison of the particle filter with range-parameterized and modified polar EKFs for angle-only tracking , 2000, SPIE Defense + Commercial Sensing.

[22]  Robert J. Elliott,et al.  Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature , 2007, Proceedings of the IEEE.

[23]  A.H. Haddad,et al.  Applied optimal estimation , 1976, Proceedings of the IEEE.

[24]  Yingjie Zhang,et al.  Gaussian sum filtering using uncorrelatec conversion for nonlinear estimation , 2017, 2017 20th International Conference on Information Fusion (Fusion).

[25]  R. Wishner,et al.  Utilization of Modified Polar Coordinates for Bearings-Only Tracking , 2001 .

[26]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[27]  X. Rong Li,et al.  Nonlinear Estimation by LMMSE-Based Estimation With Optimized Uncorrelated Augmentation , 2015, IEEE Transactions on Signal Processing.

[28]  Mark R. Morelande,et al.  An analysis of the single sensor bearings-only tracking problem , 2008, 2008 11th International Conference on Information Fusion.

[29]  Vesselin P. Jilkov,et al.  A survey of maneuvering target tracking: approximation techniques for nonlinear filtering , 2004, SPIE Defense + Commercial Sensing.

[30]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .