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DOE OSTI · 2431975

Notes on Regression Analysis for Radar Parameter Estimation

Doerry, Armin W.·Bickel, Douglas L.
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Abstract

A fundamental task of radar, beyond merely detecting a target, is to estimate some parameters associated with it. For example, this might include range, direction, velocity, etc. In any case, multiple measurements, often noisy, need to be processed to yield a ‘best estimate’ of the parameter. A common mathematical method for doing so is called “Regression” analysis. The goal is to minimize the expected squared error in the estimate. Even when alternate algorithms are considered, the least squared-error regression analysis is the benchmark against which alternatives are compared.

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BibTeXRIS

Doerry, Armin W., Bickel, Douglas L.. 2023-02-01. Notes on Regression Analysis for Radar Parameter Estimation. https://doi.org/10.2172/2431975

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