A Broadband Correlative Ectypal FFT Algorithm Based on Anti-Confusion Chirp Z Transform
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摘要: 信号处理过程中,系统常预先存储相关副本。但对于目标速度较高且对速度估计精度要求高时,则需要存储较多不同尺度的副本信号。副本存储会给系统带来较大的负担,因此寻求实时的副本快速算法是必要的。针对多速率采样难以实现宽带相关处理副本求解的问题,提出了通过CZT变换求解宽带相关副本FFT的计算方法。针对目标回波尺度大于1时造成的副本FFT混叠问题,提出了基于抗混叠CZT变换的宽带相关副本快速算法,并完成了算法的仿真与验证。仿真结果表明,基于抗混叠CZT变换的副本快速算法能准确高效地求取宽带相关副本FFT变换的结果。Abstract: During signal processing, a large number of correlative ectypes with different scales are prestored in system,especially for high-speed target and high precision estimation of velocity. The storage of ectypes burdens hardware system heavily.In order to solve the problem that the multi-velocity sampling is difficult to calculate the broadband correlative processing ectypes, a calculation method based on the anti-confusion chirp Z transform (CZT) is presentedfor broadband correlative ectype fast Fourier transform (FFT) in this paper. However, the broadband correlative ectype FFT will bring transform confusion when ectypal scale a>1,therefore a fast algorithm based on anti-confusion CZT is proposed. Simulation results indicate that the proposed algorithm can calculate the broadband correlative ectype FFT efficiently and accurately.
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