Statistical success of nonimaging target shape estimation through a turbulent medium

Susan M. Chandler; Gordon W. Lukesh

doi:10.1117/12.454394

29 January 2002 Statistical success of nonimaging target shape estimation through a turbulent medium

Susan M. Chandler, Gordon W. Lukesh

Proceedings Volume 4538, Optics in Atmospheric Propagation and Adaptive Systems IV; (2002) https://doi.org/10.1117/12.454394
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

In a recent paper the authors described a non-imaging technique for estimating the shape of remotely illuminated objects. The approach for non-imaging target shape estimation is model-based. In the absence of up-link energy fluctuations and pointing errors, a raster scan by the transmitter would produce the convolution of the expected far-field pattern with the object, providing a starting point for distinguishing targets. In this setting the referenced paper shows that it is possible to distinguish certain target shapes using a statistical confidence approach based on previous work by the authors. This paper describes a set of target models and a spectrum of far-field pattern full-width-half-maximums (FWHM). Simulations establish the optimal beam size necessary to distinguish among the models using the (chi) ² statistical confidence. This report addresses the impact of up-link energy fluctuations due to transmitter aperture size D_T relative to the Fried coherence length r₀. In the regime D_T/r₀ < 3, the far-field pattern and Strehl fluctuations are well understood. Certain cases, such as small versus large targets, are relatively unaffected by up- link energy fluctuations.

Citation Download Citation

Susan M. Chandler and Gordon W. Lukesh "Statistical success of nonimaging target shape estimation through a turbulent medium", Proc. SPIE 4538, Optics in Atmospheric Propagation and Adaptive Systems IV, (29 January 2002); https://doi.org/10.1117/12.454394

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available