THE DEVELOPMENT OF A KALMAN FILTERING ALGORITHM FOR HYBRID NAVIGATION IN ARMY AIRCRAFT,
Abstract
Control system solutions have been formulated using Kalman filtering -- a data processing technique whereby a dynamic error model of the system, as well as the statistical parameters of the instrumentation and measurement noise, are combined in a state space equation to estimate the system errors. Hybrid navigation is a natural candidate for such control techniques and several studies have been made in this general area although no systems designed for Army aircraft have been flown. This paper will present the analytical results obtained in the first phase of a US Army program to determine the feasibility of hybrid navigation for Army purposes. The program will culminate in flight tests in 1970-71. The paper will address four major areas: synoptic statement of Kalman filter principles, general determination of needs unique to the Army, error model analysis of the candidate navigation subsystem, and development of the Kalman filter algorithm. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1970
- Accession Number
- AD0713553
Entities
People
- Joseph A. Knight
Organizations
- United States Army Communications-Electronics Command