Missile motion parameter estimation with a passive sensor from a high speed aircraft

Zijiao Tian; Kaipei Yang; Meir Danino; Yaakov Bar-Shalom; Benny Milgrom

doi:10.1117/12.2616701

8 June 2022 Missile motion parameter estimation with a passive sensor from a high speed aircraft

Zijiao Tian, Kaipei Yang, Meir Danino, Yaakov Bar-Shalom, Benny Milgrom

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 1212206 (2022) https://doi.org/10.1117/12.2616701
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The 3D trajectory estimation and observability problems of a target have been solved by using angle-only measurements. In previous works, the measurements were obtained in the thrusting/ballistic phase from a single fixed passive sensor. The present work solves the motion parameter estimation of a ballistic target in the reentry phase from a moving passive sensor on a fast aircraft. This is done with a 7-dimension motion parameter vector (velocity azimuth angle, velocity elevation angle, drag coefficient, target speed and 3D position). The maximum likelihood (ML) estimator is used for the motion parameter estimation at the end of the observation interval. Then we can predict the future position at an arbitrary time and the impact point of the target. The observability of the system is verified numerically via the invertibility of the Fisher information matrix. The Cramer–Rao lower bound for the estimated parameter vector is evaluated, and it shows that the estimates are statistically efficient. Simulation results show complete observability from the scenario considered, which illustrates that a single fast moving sensor platform for a target can estimate the motion parameter in the reentry phase.

Citation Download Citation

Zijiao Tian, Kaipei Yang, Meir Danino, Yaakov Bar-Shalom, and Benny Milgrom "Missile motion parameter estimation with a passive sensor from a high speed aircraft", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 1212206 (8 June 2022); https://doi.org/10.1117/12.2616701

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available