Accession Number:

ADA067354

Title:

Optimal State Estimation of Ballistic Trajectories with Angle-Only Measurements

Personal Author(s):

Corporate Author:

MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB

Report Date:

1979-01-24

Abstract:

An iterative least square estimation algorithm is dervied and applied to the problem of state estimation of ballistic trajectories with angle-only measurements. A filter initiation procedure is suggested. The application of trajectory a priori knowledge for improving the estimate is discussed and solved as a constrained estimation problem. A Monte Carlo simulation study was conducted to evaluate these techniques. It was found that the iterative least square filter achieves the Cramer-Rao bound and it performs better than the extended Kalman filter when the sensor is on a free-falling platform. When the sensor is on a stationary platform however, both estimators asymptotically achieve the Cramer-Rao bound.

Descriptive Note:

Technical note

Supplementary Note:

DOI: 10.21236/ADA067354

Pages:

0050

Identifiers:

Subject Categories:

Communities Of Interest:

Contract Number:

F19628-78-C-0002

File Size:

1.43MB