Error suppressing in phase-coherent active radar seeker using velocity measurement of inertial navigation system

In order to enhance the measure accuracy in phase-coherent active radar seeker which is restrained by weight volume, a novel Extended Kalman Filter algorithm using two-dimensional anti-ship missile to target relative movement model is proposed in this paper. First-order Markov process is employed to describe the ship movement and missile to target relative motion model is established by velocity measurement of Inertial Navigation System. The approach can fully take advantage of state variables, thus offering favorable phase-coherent radar seeker measurement error suppressing. It has practical application in enhancing missile strike precision. The proposed approach is validated by simulation in a representative scenario.

[1]  H. Carvalho,et al.  Optimal nonlinear filtering in GPS/INS integration , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[2]  J. Reid,et al.  Estimation of Aircraft Target Motion Using Orientation Measurements , 1981, IEEE Transactions on Aerospace and Electronic Systems.

[3]  R. E. Kalman,et al.  A New Approach to Linear Filtering and Prediction Problems , 2002 .

[4]  Guoyu Wang,et al.  A Data Processing Approach in Passive-Radar-Seeker Based on Grey Entropy , 2009, 2009 International Conference on Information Engineering and Computer Science.

[5]  K. Mehrotra,et al.  A jerk model for tracking highly maneuvering targets , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[6]  N. Jeremy Kasdin,et al.  Two-step optimal estimator for three dimensional target tracking , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Behzad Moshiri,et al.  Maneuvering Target Tracking , 2003 .

[8]  Y. Bar-Shalom.  Tracking and data association , 1988 .

[9]  T. Loffler,et al.  International HARM Precision Navigation Upgrade. A GPS/INS missile upgrade that improves effectiveness and minimizes friendly-fire accidents , 2002, 2002 IEEE Position Location and Navigation Symposium (IEEE Cat. No.02CH37284).

[10]  R. Kumaresan,et al.  Estimating the Angles of Arrival of Multiple Plane Waves , 1983, IEEE Transactions on Aerospace and Electronic Systems.

[11]  X. Rong Li,et al.  Survey of maneuvering target tracking: dynamic models , 2000, SPIE Defense + Commercial Sensing.

[12]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.