We present an efficient algorithm for computation of the maximum likelihood estimate of the location of a known target from short pulse scatter data. The algorithm constitutes a three step procedure: (i) data filtering, (ii) time-domain backpropagation, and (iii) coherent summation and consists of a number of projection and backprojection operations integrated in a tomographic scheme. A computer simulation is included for illustration purposes and relevant applications in radar target identification and buried object detection are discussed.
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