Accession Number : ADA194675
Title : Multi-Sensory Tracking Mount Control.
Descriptive Note : Scientific technical rept.,
Corporate Author : SPACE DATA CORP TEMPE AZ
Personal Author(s) : Bollerman, Bruce
PDF Url : ADA194675
Report Date : 08 Mar 1988
Pagination or Media Count : 80
Abstract : This research develops tracking algorithms for a multi-sensor tracking mount control system. The sensors are mounted to an elevation-over-azimuth pedestal. The tracking error is detected by four independent sensors; namely, RF telemetry system, millimeter wave radar, infrared sensor, and TV video system. The quality of the signal from each sensor is available as a measure of the signal-to-noise ratio such as AGC level. It is assumed that these can be expressed as the variance of the statistical measurement noise distribution. A major requirement of the tracking mount control system is the development of tracking filters to reduce the noise content of the multi-sensor output information. The general formulation of the Kalman filter is presented first. The precise form of the algorithm would depend on the model that is selected for the time evolution of the quantity being measured. Two such cases are considered in detail with the possibility of adapting the filter in the presence of target maneuvers. Two approaches for fusion of the multi-sensor information are presented. Recommended processing hardware and processing time estimates are presented.
Descriptors : *CONTROL SYSTEMS, *KALMAN FILTERING, *MULTISENSORS, *TRACKING, ALGORITHMS, CONTROL, DISTRIBUTION, ERRORS, ESTIMATES, EVOLUTION(GENERAL), FILTERS, FORMULATIONS, INFRARED DETECTORS, MANEUVERS, MILLIMETER WAVES, MOUNTS, NOISE, OUTPUT, PROCESSING, PROCESSING EQUIPMENT, QUALITY, RADAR, RADIOFREQUENCY, SENSES(PHYSIOLOGY), SIGNAL TO NOISE RATIO, SIGNALS, STATISTICAL ANALYSIS, TARGETS, TELEMETER SYSTEMS, TIME
Subject Categories : Target Direction, Range and Position Finding
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE