Advances in automatic estimation and compensation of target kinematics for improved radar imaging

Benjamin C. Flores; Sergio D. Cabrera; Ana Martinez

doi:10.1117/12.181050

29 July 1994 Advances in automatic estimation and compensation of target kinematics for improved radar imaging

Benjamin C. Flores, Sergio D. Cabrera, Ana Martinez

Proceedings Volume 2234, Automatic Object Recognition IV; (1994) https://doi.org/10.1117/12.181050
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

Three techniques for the motion compensation of wideband frequency-stepped signatures are compared. These approaches were developed with the intention of processing the signatures into focused range-Doppler images of moving targets. The approaches differ in three aspects: (1) the amount of Fourier processing; (2) the optimization process that yields the motion parameter estimates; and (3) the type of function utilized in the optimization process. Here, the emphasis is placed on the choice of a function that determines the motion parameters. The basic premise is that the function selected has a global minimum whose coordinates are the optimum estimates of the true motion parameters. In the first approach, the function is a measure of the entropy associated with the image. In the second approach, the function is a measure of the entropy associated with the range profile history from which the image is formed. In the third approach, the function is a measure of the rate of change of the target signature. A test case is offered to illustrate the properties of these functions. For this particular case, the performance of each motion compensation approach depends on the behavior of the corresponding function over a selected domain that includes the actual motion parameters of the target.

Citation Download Citation

Benjamin C. Flores, Sergio D. Cabrera, and Ana Martinez "Advances in automatic estimation and compensation of target kinematics for improved radar imaging", Proc. SPIE 2234, Automatic Object Recognition IV, (29 July 1994); https://doi.org/10.1117/12.181050

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