An advance in geolocation by light

A new analysis of twilight predicts that for observations made in narrow-band blue light, the shape of the light curve (irradiance vs. sun elevation angle) between +3 and -5° (87 to 95° zenith angle) has a particular rigid shape not significantly affected by cloudiness, horizon details, atmospheric...

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Bibliographic Details
Main Author: Philip A. Ekstrom
Format: Report
Language:English
Published: Lotek Wireless 2004
Subjects:
Online Access:https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=2496
http://id.nii.ac.jp/1291/00002496/
https://nipr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=2496&item_no=1&attribute_id=18&file_no=1
Description
Summary:A new analysis of twilight predicts that for observations made in narrow-band blue light, the shape of the light curve (irradiance vs. sun elevation angle) between +3 and -5° (87 to 95° zenith angle) has a particular rigid shape not significantly affected by cloudiness, horizon details, atmospheric refraction or atmospheric dust loading. This shape is distinctive, can be located reliably in measured data, and provides a firm theoretical basis for animal geolocation by template-fitting to irradiance data. The resulting approach matches a theoretical model of the irradiance vs. time-of-day to the relevant portion of a given day's data, adjusting parameters for latitude, longitude, and cloudiness. In favorable cases, there is only one parameter choice that will fit well, and that choice becomes the position estimate. The entire process can proceed automatically in a tag.Theoretical estimates predict good accuracy over most of the year and most of the earth, with difficulties just on the winter side of equinox and near the equator. Polar regions are favorable whenever the sun crosses -5( to +3( elevation, and the method can yield useful results whenever the sun makes a significant excursion into that elevation range. Early results based on data taken on land at 48(N latitude confirm the predictions vs. season, and show promising performance when compared with earlier threshold-based methods.