Abstract
In this paper, the coherent integration for drone detection is considered and a method based on parametric symmetric instantaneous autocorrelation function (PSIAF), keystone transform (KT) and scaled Fourier transform (SFT), i.e., PSIAF-KT-SFT, is presented. To be specific, the PSIAF is first applied to eliminate the quadratic range migration (RM) and Doppler frequency migration (DFM) induced by the acceleration. Then, the residual linear RM can be removed by KT and SFT. After that, the motion parameters of drone can be estimated via the Fourier transform (FT) with respect to the lag time. Based on the estimated motion parameters, the coherent integration can be achieved and the target energy can be accumulated at one point, which can be used for drone detection. Finally, the simulations and real experiment are performed to demonstrate the effectiveness.
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