Multiple Model Adaptive Filter for Tank Fire Control and Its Microprocessor Implementation,
Abstract
This study is to investigate the feasibility and performance of an adaptive fire control filter-predictor system in the microprocessor environment. The filter model used is our previous design which includes a Kalman estimator for tank target state estimation and an UD-factorization scheme to propagate the state error covariance matrix. This method insures computation stability and enhances accuracy of the filter algorithm. Moreover the parallel structure of filter configuration in this model is inherently suitable for microprocessor implementation. Three Intel 86/12a single board computers are used to process the parallel filters simultaneously. One of them is designed to access the other two to gather critical data for adaptive prediction in real time. The computation accuracy of the target state estimates and the processing time are examined. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 01, 1983
- Accession Number
- ADP001033
Entities
People
- Pak T. Yip
Organizations
- United States Army Armament Research, Development and Engineering Center