{"title":"Infrared Species Limited Data Tomography using Kalman Filtering","authors":"K. Daun, Steven L. Waslander, Brandon B. Tulloch","doi":"10.2514/6.2010-4914","DOIUrl":"https://doi.org/10.2514/6.2010-4914","url":null,"abstract":"In infrared species limited data tomography the spatial concentration distribution of an unknown species, for example the air/fuel ratio in a combustor, is inferred from the attenuation of multiple collimated light beams shone through the measurement field. The resulting set of linear equations is rank-deficient so it is necessary to introduce prior assumptions about the smoothness and nonnegativity of the distribution to recover a solution. This paper investigates whether the Kalman filter can be used to incorporate additional information from the observed time-evolution of the attenuation measurements to further improve the reconstruction accuracy, but finds that performing a series of static measurements is both more accurate and computationally efficient.","PeriodicalId":328008,"journal":{"name":"27th AIAA Aerodynamic Measurement Technology and Ground Testing Conference","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130028901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}