KEYWORDS: Signal processing, Data processing, Sensors, Data modeling, Optical spheres, Spherical lenses, Calcium, Systems modeling, Commercial off the shelf technology, Information operations
Conventional practice in single-sensor passive track is to fit azimuth-elevation object observations with polynomials in the
early stages of track initialization. At least three and usually more observations are fitted to quadratic polynomials before they
are accepted for testing with a six dimensional model. This paper develops an alternative to these polynomials based on
closed-form solutions of the trajectories in angle-space. This paper is applicable when both the sensor and target are in free
fall. The approach relies on a flat-earth assumption to achieve the solutions. Experimental comparisons are made with the
polynomial fit method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.