Accession Number:

ADA021759

Title:

An Alternative to Nonlinear Estimation in Gun Fire Control Systems.

Descriptive Note:

Master's thesis,

Corporate Author:

NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF

Personal Author(s):

• Brands,Robert Keith

Report Date:

1975-12-01

Pagination or Media Count:

148.0

Abstract:

A Kalman filter with assumed linear system dynamics was derived from a spherical coordinate state vector and applied to a fire control system tracking environment. Two models of target dynamics were developed a constant-velocity model and a correlated random acceleration model. The predicted position performance of the filters derived from the two basic models was optimized using Monte Carlo methods against a set of test trajectories that include constant-velocity and maneuvering target profiles. The results of the Monte Carlo simulation of these filters are compared with the results obtained from a filter derived from a Cartesian Coordinate state vector. Switch-on-range adaptive filters were developed from the two basic models and evaluated by Monte Carlo methods. The results of the simulations of the adaptive filters with the two different state vectors are compared. Author

Descriptors:

• *FIRE CONTROL SYSTEMS
• *NONLINEAR PROGRAMMING
• *AIRCRAFT GUNS
• COMPUTER PROGRAMS
• COMPUTERIZED SIMULATION
• GUIDED MISSILES
• KALMAN FILTERING
• MONTE CARLO METHOD
• VECTOR ANALYSIS
• SUBROUTINES
• DIGITAL SIMULATION
• FIRE CONTROL COMPUTERS

Subject Categories:

• Computer Programming and Software
• Fire Control and Bombing Systems
• Guns

Distribution Statement:

APPROVED FOR PUBLIC RELEASE