Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks
This study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e., Multiple Model Estimation [MME] and Mixture o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/21/11161 |
| _version_ | 1797469195469848576 |
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| author | Daniel P. Lubey Todd A. Ely |
| author_facet | Daniel P. Lubey Todd A. Ely |
| author_sort | Daniel P. Lubey |
| collection | DOAJ |
| description | This study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e., Multiple Model Estimation [MME] and Mixture of Experts [MoE]) to detect when measurement and/or dynamical mis-modeling occurs. We develop a new <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>χ</mi><mn>2</mn></msup></semantics></math></inline-formula>-based gating network for a filter bank that may be used to identify poorly performing filters (i.e., those with low weights), which may be used as a signal for mis-modeling in the system. In addition to defining and deriving this new weighting scheme, numerical simulations based on NASA’s InSight mission demonstrate this new algorithm’s performance with and without measurement and dynamical mis-modeling present. |
| first_indexed | 2024-03-09T19:17:01Z |
| format | Article |
| id | doaj.art-51189ff3f98542ac8f6f16e81f721b93 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T19:17:01Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-51189ff3f98542ac8f6f16e81f721b932023-11-24T03:39:01ZengMDPI AGApplied Sciences2076-34172022-11-0112211116110.3390/app122111161Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating NetworksDaniel P. Lubey0Todd A. Ely1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USAJet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USAThis study investigates methods for autonomous navigation of a deep-space spacecraft where one-way radiometric and on-board optical information are fused to create a fully informed state estimate. The specific focus is on using filter bank methods (i.e., Multiple Model Estimation [MME] and Mixture of Experts [MoE]) to detect when measurement and/or dynamical mis-modeling occurs. We develop a new <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>χ</mi><mn>2</mn></msup></semantics></math></inline-formula>-based gating network for a filter bank that may be used to identify poorly performing filters (i.e., those with low weights), which may be used as a signal for mis-modeling in the system. In addition to defining and deriving this new weighting scheme, numerical simulations based on NASA’s InSight mission demonstrate this new algorithm’s performance with and without measurement and dynamical mis-modeling present.https://www.mdpi.com/2076-3417/12/21/11161spacecraft navigationanomaly detectionMultiple Model Estimationfilter bankautonomous navigation |
| spellingShingle | Daniel P. Lubey Todd A. Ely Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks Applied Sciences spacecraft navigation anomaly detection Multiple Model Estimation filter bank autonomous navigation |
| title | Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks |
| title_full | Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks |
| title_fullStr | Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks |
| title_full_unstemmed | Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks |
| title_short | Anomaly Detection in Autonomous Deep-Space Navigation via Filter Bank Gating Networks |
| title_sort | anomaly detection in autonomous deep space navigation via filter bank gating networks |
| topic | spacecraft navigation anomaly detection Multiple Model Estimation filter bank autonomous navigation |
| url | https://www.mdpi.com/2076-3417/12/21/11161 |
| work_keys_str_mv | AT danielplubey anomalydetectioninautonomousdeepspacenavigationviafilterbankgatingnetworks AT toddaely anomalydetectioninautonomousdeepspacenavigationviafilterbankgatingnetworks |