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A Bayes approach to parameter estimation, based on the minimum mean square error criterion, applied to the problem of identifying such radar target characteristics as dimensions, shape, rate of rotation, and axis of rotation, as well as the more usually considered range, range rate, and range acceleration. Emphasis is on estimation of linear or quadratic functionals of the scatterer amplitudes, such as the average scattering cross section attributable to specific regions of the target. Theoretically, results can be obtained for nonstationary cases, such as those involving specular flashes, for any signal-to-noise ratio, and for any degree of prior knowledge of target characteristics. However, most cases require solution of certain integral equations for which the computer programs are as yet unwritten. Initial steps toward computer implementation are discussed. Applications include satellite identification, radar astronomy, and radar ground mapping.

This report is part of the RAND Corporation research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.