DESIGN OF TARGET STATE ESTIMATION ALGORITHM WITH HYBRID MEASUREMENTS

  • Suzan Kale
  • Ali Türker Kutay
Keywords: passive estimation algorithm, Extended Kalman Filter, range-to-go estimation

Abstract

In some missile systems, the information about the target (position/velocity/acceleration) which is measured/calculated by ground radar system is transferred to the missile via an up-link. This information is then utilized in midcourse guidance algorithms until the seeker lock-on is accomplished. If the communication between the ground radar and the missile sustain till terminal phase, this information can be used in advanced terminal guidance algorithms in order to enhance the guidance performance of the missile. In this paper, seeker and radar measurements with different sampling frequencies are integrated by Extended Kalman Filter based estimation algorithm. The system is defined in polar coordinate frame reflecting the 3D missile-target kinematics and the target is assumed to move with constant speed. As a result of this study, the estimation of range to-go and closing velocity is obtained.

References

[1] Aidala, V. J., "Kalman Filter Behavior in Bearings-Only Tracking Applications," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-15, July 1979, pp. 29-39.
[2] Aidala, V. J., and Hammel, S. E., "Utilization of Modified Polar Coordinates for Bearings-Only Tracking," IEEE Transactions on Automatic Control, Vol. AC-28, Aug. 1983, pp. 283-294.
[3] Nardone, S. C, and Aidala, V. J., "Observability Criteria for Bearings-Only Target Motion Analysis," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-17, July 1981, pp. 162-166.
Published
2014-07-28
How to Cite
[1]
S. Kale and A. Kutay, “DESIGN OF TARGET STATE ESTIMATION ALGORITHM WITH HYBRID MEASUREMENTS”, JAST, vol. 7, no. 2, pp. 103-110, Jul. 2014.
Section
Articles