A Multi-sensor Passive TDOA Target Tracking Algorithm Adopted Target＇s Velocity
Abstract：In multi-sensor bearings-only passive target tracking,the state of the target has a nonlinear relation with the bearings measurements.Existing methods focus mainly on the process of linearization.However,in this process,a precision decrease is obviously unavoidable and even filter divergence will occur so as to lose the target.Therefore a new algorithm is proposed.Because target＇s velocity can be measured by doppler principle,so the target＇s velocity is adopted in the measurement equation and a new kalman filtering algorithm is established.Simulation results indicate that this method can increase the convergent precision and accelerate the convergent.
Keywords：target trackingpassivevelocitymulti-sensor
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 39-42 )