A noveltechnique/or estimation andcompemation ifradar targettramiatiol101motion ispresented lis theoretical derivation and its application to real radar data /or different clarses iftargets (Sh¢J; aircrq/ls) are discussed The proposedalgorithm is baredon a closed-loopprocessing choin, thotprocesses groups ifreceivedpulses carrying out a./fequency-domoin al1O{ysis to estimate the target unknown relative motion, andthen uses the estimatedrange-rate to compematepu/se-to-pu/se range shi/i. The simplicig; and robustness if the proposed approach maM it e.special{y suitable/or real-time applicatiol1J; andit can be the basis or the initial step ifmany different radar imagingprocessingstrategies.Many proposed methods (see [2] to [5]) based on minimisation/maximisation of cost/score functions like amplitude correlation, entropy minimisation, contrast optimisation, etc, often lead to unreliable estimation of radar to target rangerate and/or may require long observation time and data storing before a reliable motion estimation can be achieved. Key features of proposed method is to achieve instantaneous and very accurate estimation of relative range-rate by a simple and a computationally affordable processing suitable for reliable real time ISAR imaging applications.The paper is organized as follows: in §2 we illustrate the theoretical derivation of the proposed algorithm, while in §3 we show its results on simulated data. Finally, in §4 we discuss the results of the proposed algorithm on real data, and in §5 we draw our conclusions.
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