A Nonlinear Estimation Algorithm and Its Optical Implementation for Target Tracking in Clutter Environment

スポンサーリンク

概要

• 論文の詳細を見る

• The two-dimensional tracking problem in a clutter environment is solved in the discrete-time Bayes optimal (nonlinear, and non-Gaussian) estimation framework. The proposed method recursively finds the probability density functions of the target position and velocity. With our approach, the nonlinear estimation problem is converted into simpler linear convolution operations that can be implemented with optical devices efficiently. We present a possible optical implementation architecture, and its functionality is verified through computer simulation.

• Publication Office, Japanese Journal of Applied Physics, Faculty of Science, University of Tokyoの論文
• 2003-02-15

著者

• Son Jung

  3-d Imaging Media Center Korea Institute Of Science And Technology

• Chun Joohwan

  Scientific Computing Laboratory Department Of Electrical Engineering Korea Advanced Institute Of Sci

• Son Jung

  3-D Imaging Media Center, Korea Institute of Science and Technology, P.O. Box 131 Cheongryang, Seoul, Korea

• Kailath Thomas

  Information Systems Laboratory, Stanford University, Stanford, CA 94305, U.S.A.

関連論文

• A New Layer-Peeling Algorithm for Lossy Media without Using Phase Information : Optics and Quantum Electronics
• Multiport Lattice Filter Model for Long-Period Fiber Gratings
• Analysis of the Fiber Bragg Gratings using the Lattice Filter Model
• Two Methods for Synthesizing the Long Period Fiber Gratings with the Inverted Erbium Gain Spectrum
• A Low-Cost Orbit Determination Method for Mobile Communication Satellites
• Model-Based Angle-only Tracking of Known Aircraft Target Using Single Imaging Sensor
• Initial Attitude Determination Using a Single Star Sensor
• Analysis of Concatenated Long Period Fiber Gratings Having Phase-Shifted and Cascaded Effects
• A Nonlinear Estimation Algorithm and Its Optical Implementation for Target Tracking in Clutter Environment

スポンサーリンク