Correlation and Error Metrics for Plant Identification of On-Orbit Space Structures

摘要

In plant identification and modeling efforts, metrics are needed to quantitatively compare measured data to numeric models. Quantitative metrics broadly fall into five categories: performance metrics, correlation metrics, error metrics, data quality metrics, and model interpretation metrics. This paper describes the utility of frequency response function correlation and error metrics for plant identification, particularly for complex space structures. Three correlation metrics and three error metrics are discussed. Multiple-input, multiple-output extensions to the correlation metrics are presented and their application is demonstrated on data collected from spacecraft-representative structures.