Title :
On Tracking Maneuvering Targets in 3-Dimensonal Space with Online Observed Colored Glint Noise Parameter Estimation
Author :
Banani, S.A. ; Masnadi-Shirazi, MA
Author_Institution :
Dept of Electr. Eng., Shiraz Univ., Shiraz, Iran
Abstract :
In this paper a comprehensive algorithm is presented to alleviate the undesired simultaneous effects of observed glint noise distribution, colored noise spectrum, unknown noise parameter, and nonlinearity of the system on tracking of the maneuvering targets in 3-dimensional space. Particle filter is used as a nonlinear state estimator to deal with the nonlinearities of the observation equations. To identify the dynamics of the maneuvering targets a new switching scheme is proposed to be substituted for the conventional interacting multiple model approach. The method is strictly causal and can be implemented for an online tracking system. The algorithm performance has been verified by illustrating some simulation results.
Keywords :
nonlinear estimation; parameter estimation; particle filtering (numerical methods); radar tracking; state estimation; statistical distributions; target tracking; 3-dimensonal space; colored noise spectrum; comprehensive algorithm; interacting multiple model; maneuvering target tracking; nonlinear state estimator; observed glint noise distribution; online observed colored glint noise parameter estimation; online tracking system; particle filter; switching scheme; Colored noise; Degradation; Gaussian noise; Nonlinear equations; Parameter estimation; Particle filters; Radar tracking; Signal processing algorithms; State estimation; Target tracking; Glint Noise; Kinematics; Maneuvering motion; Particle Filter; Target Tracking;
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
DOI :
10.1109/ICSPC.2007.4728597
