Choice of an entropy-like function for range-Doppler processing

Benjamin C. Flores; Alberto Ugarte; Vladik Kreinovich

doi:10.1117/12.160625

15 October 1993 Choice of an entropy-like function for range-Doppler processing

Benjamin C. Flores, Alberto Ugarte, Vladik Kreinovich

Proceedings Volume 1960, Automatic Object Recognition III; (1993) https://doi.org/10.1117/12.160625
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Motion compensation of range-Doppler target signatures results in focused target imagery. Recently, an iterative approach based on a logarithmic entropy measure has been proposed for the motion compensation of signatures collected in the frequency domain. The effectiveness of this approach can be significantly improved by using an entropy-like function which is maximally resistant to noise and consistent with statistical boundaries. For purposes of analysis, the entropy-like function is written in terms of an information gain function (Delta) I. Several expressions for (Delta) I are tested to verify the accuracy of radial-motion parameter estimation. The effectiveness of these expressions is determined by the number of iterations required to find the minimum entropy measure, within an acceptable tolerance level for a given signal-to-noise ratio. Results show that the exponential information gain (Delta) I equals exp(1-I) yields an optimally convex entropy measure surface over a prescribed motion- parameter solution space. The surface minimum in this solution space has coordinates which are interpreted as the optimum motion-parameter estimates that can be obtained for the purpose of image focusing.

Citation Download Citation

Benjamin C. Flores, Alberto Ugarte, and Vladik Kreinovich "Choice of an entropy-like function for range-Doppler processing", Proc. SPIE 1960, Automatic Object Recognition III, (15 October 1993); https://doi.org/10.1117/12.160625

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