Keystone变换(Keystone Transform,KT)是一种经典的雷达目标距离走动校正工具,现有诸多实现方法中以基于线性调频Z变换(Chirp-Z Transform,CZT)和快速傅里叶逆变换(Inverse Fast Fourier Transform,IFFT)的“CZT+IFFT”方法计算量最低.本文针对“CZT+IFFT”方法存在的频谱混叠问题,提出修正的“CZT+IFFT”方法,同时运用时间尺度(Time-Scaling,TS)和尺度估计(Scale-Estimation,SE)概念,进一步提出2种梅林域的KT实现方法.仿真试验验证了分析结论的正确性和所提方法的有效性.
Abstract
Keystone transform(KT) is a classical target range migration correction method in radar. Among the existing implementation methods
the method based on the chirp-z transform(CZT) and inverse fast fourier transform(IFFT) has the lowest amount of calculation. Aiming at the spectrum aliasing problem in the above “CZT+IFFT” method
this paper proposes a modified “CZT+IFFT” method. At the same time
appling the concepts of time-scaling(TS) and scale-estimation(SE)
the other two KT implementation methods in mellin transform(MT) domain are further proposed. Simulation results verify the correctness of analysis conclusion and the effectiveness of proposed methods.
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