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Passive Ranging Using Atmospheric Oxygen Absorption Spectra
Editore:
Creative Media Partners, LLC, 2025
ISBN 10: 1025117735
ISBN 13: 9781025117737
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781025117737
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Passive Ranging Using Atmospheric Oxygen Absorption Spectra
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Condizione: New. Print on Demand. Codice articolo 409505963
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Passive Ranging Using Atmospheric Oxygen Absorption Spectra
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Condizione: New. Print on Demand. Codice articolo 26404696948
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Passive Ranging Using Atmospheric Oxygen Absorption Spectra
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Condizione: New. PRINT ON DEMAND. Codice articolo 18404696958
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Passive Ranging Using Atmospheric Oxygen Absorption Spectra (Hardcover)
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Hardcover. Condizione: new. Hardcover. The depth of absorption bands in observed spectra of distant, bright sources can be used to estimate range to the source. Previous efforts in this area have relied on measuring infrared CO2 bands, with disappointing results. A novel approach is presented here and demonstrated using observations of the O2 absorption band near 762 nm. Oxygen was chosen because its concentration is more stable and predictable than CO2 or H2O, and this band is spectrally isolated from other atmospheric bands, which enables direct estimation of absorption. Range is estimated by comparing observed values of band-average absorption, A, against curves derived from either historical data or model predictions. Curves are based on fitting a random band model to the data, which reduces average range error by 67% compared to the Beer's Law model used in previous work. An original model is presented based on a traditional random band model, modified to account for variations in absorber concentration over long, inhomogeneous paths. This mod- ification further reduces error by over 50% in short-range experiments, and can be used in conjunction with any band model. A static rocket motor test was observed using a Bomem MR-254 Fourier trans- form spectrometer at a range of 2.8 km. In this case, observed values of A were com- pared against data simulated using FASCODE, a validated atmospheric transport model. Detailed atmospheric soundings were not required; a standard atmosphere was used, and a simple correction, based on published meteorology data, is presented. The resulting range estimate was accurate to within 0.5% (14 m). Similar accuracy was also achieved at shorter ranges using a lamp as a surrogate target. Long-range performance is predicted by using FASCODE and theoretical mod- els to extrapolate observed short-range performance. Range error of 5% or less is predicted at ranges up to 400 km for a representative target.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781025117737
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Passive Ranging Using Atmospheric Oxygen Absorption Spectra
Editore:
Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025117735
ISBN 13: 9781025117737
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Rilegato
Da: AHA-BUCH GmbH, Einbeck, Germania
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Buch. Condizione: Neu. Neuware - The depth of absorption bands in observed spectra of distant, bright sources can be used to estimate range to the source. Previous efforts in this area have relied on measuring infrared CO2 bands, with disappointing results. A novel approach is presented here and demonstrated using observations of the O2 absorption band near 762 nm. Oxygen was chosen because its concentration is more stable and predictable than CO2 or H2O, and this band is spectrally isolated from other atmospheric bands, which enables direct estimation of absorption. Range is estimated by comparing observed values of band-average absorption, A, against curves derived from either historical data or model predictions. Curves are based on fitting a random band model to the data, which reduces average range error by 67% compared to the Beer's Law model used in previous work. An original model is presented based on a traditional random band model, modified to account for variations in absorber concentration over long, inhomogeneous paths. This mod- ification further reduces error by over 50% in short-range experiments, and can be used in conjunction with any band model. A static rocket motor test was observed using a Bomem MR-254 Fourier trans- form spectrometer at a range of 2.8 km. In this case, observed values of A were com- pared against data simulated using FASCODE, a validated atmospheric transport model. Detailed atmospheric soundings were not required; a standard atmosphere was used, and a simple correction, based on published meteorology data, is presented. The resulting range estimate was accurate to within 0.5% (14 m). Similar accuracy was also achieved at shorter ranges using a lamp as a surrogate target. Long-range performance is predicted by using FASCODE and theoretical mod- els to extrapolate observed short-range performance. Range error of 5% or less is predicted at ranges up to 400 km for a representative target. Codice articolo 9781025117737
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