Cognitive Systems Engineering Applied to Decision Support in Space Situational Awareness

Abstract

Existing approaches for sensor network tasking in space situational awareness (SSA) rely on techniques from the 1950s and limited application areas while also requiring significant human-in-the-loop involvement. Increasing numbers of space objects, sensors, and decision-making needs create a demand for improved methods of gathering and fusing disparate information to resolve hypotheses about the space object environment. This work focuses on the cognitive work in SSA sensor tasking approaches. The application of a cognitive work analysis for the SSA domain highlights capabilities and constraints inherent to the domain that can drive SSA operations toward decision-maker goals. A control task analysis is also conducted to derive requirements for cognitive work and information relationships that support the information fusion and sensor allocation tasks of SSA. A prototype decision-support system is developed using a subset of the derived requirements. This prototype is evaluated in a human-in-the-loop experiment using both a hypothesis-based and covariance-based scheduling approaches. Results from this preliminary evaluation show operator ability to address SSA decision-maker hypotheses using the prototype decision-support system (DSS) using both scheduling approaches.

Metode AHP Untuk Sistem Pendukung Keputusan Sekolah Sadar Lalu Lintas

“…Pendekatan perhitungan yang terstruktur dan komprehensif diperlukan dengan melibatkan semua pemangku kepentingan yang relevan, serta terus-menerus memperbarui dan menyesuaikan strategi penilaian sesuai dengan kebutuhan dan perkembangan terbaru [9]. Sistem Pendukung Keputusan(SPK) dibangun untuk menunjang keputusan yang berkaitan erat terhadap kebutuhan organisasi atau individu [19], [20], sehingga pengelolaan informasi dan pengambilan keputusan menjadi lebih baik dan lebih efisien [21]. SPK diusulkan untuk menunjang pengambilan keputusan sekolah sadar lalu lintas menggunakan metode Analytical Hierarchy Process(AHP) berbasis website.…”

Orbit Determination for Impulsively Maneuvering Spacecraft Using Modified State Transition Tensor

“…The filtering-through approach is a real-time tracking technique compensating for unknown maneuvers to fit the post-maneuver observation into the pre-maneuver orbit [7,11]. According to the methods for compensating the unknown maneuver, the filtering-through approach developed thus far can be further cataloged into three groups: the single-model-based adaptive KFs, multiple-model algorithms, and decision-based adaptive KFs [12]. The singlemodel-based adaptive KFs compensate for the unknown maneuvering accelerations using a single model, including the thrust-Fourier-coefficient (TFC) event representation [7,13,14], the polynomial representation [6] and the variable structure estimator [15].…”