Beyond the Kalman filter : particle filters for tracking applications

• 作者： Ristic, Branko.
• 其他作者：
  • Arulampalam, Sanjeev.
• 出版： Boston, MA : Artech House
• 叢書名： Artech House radar library
• 主題： Tracking radar--Mathematics , Kalman filtering , Radar defense networks--United States.
• ISBN： 158053631X (hbk.) 、 9781580536318 (hbk.)
• 資料類型: 圖書
• 內容註: Includes bibliographical references. Theoretical Concepts -- Nonlinear Filtering -- The Problem and Its Conceptual Solution -- Optimal Algorithms -- The Kalman Filter -- Grid-Based Methods -- Benes and Daum Filters -- Multiple Switching Dynamic Models -- Basics of Target Tracking -- Suboptimal Nonlinear Filters -- Analytic Approximations -- Numerical Methods -- Gaussian Sum Filters -- Static MM Estimator -- Dynamic MM Filter -- Unscented Kalman Filter -- Filtering Equations -- The Unscented Transform -- A Tutorial on Particle Filters -- Monte Carlo Integration -- Sequential Importance Sampling -- Resampling -- Selection of Importance Density -- The Optimal Choice -- Suboptimal Choices -- Versions of Particle Filters -- SIR Filter -- Auxiliary SIR Filter -- Particle Filters with an Improved Sample Diversity -- Local Linearization Particle Filters -- Multiple-Model Particle Filter -- Computational Aspects -- Appendix: Combination of Quadratic Terms -- Cramer-Rao Bounds for Nonlinear Filtering -- Recursive Computation of the Filtering Information Matrix -- Special Cases -- Additive Gaussian Noise -- Linear/Gaussian Case -- Zero Process Noise -- Multiple-Switching Dynamic Models -- Enumeration Method -- Deterministic Trajectory -- Tracking Applications -- Tracking a Ballistic Object on Reentry -- Target Dynamics and Measurements -- Cramer-Rao Bound -- Tracking Filters -- Numerical Results -- Bearings-Only Tracking -- Problem Formulation -- Nonmaneuvering Case -- Maneuvering Case -- Multiple Sensor Case -- Tracking with Constraints -- Cramer-Rao Lower Bounds.
• More
• 讀者標籤：

  需登入
• 引用連結：

  Copy Link
• 目前引用數
• Share: