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Sidelobe level reduction in ACF of NLFM waveform

机译:NLFM波形的ACF旁瓣电平降低

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摘要

In this study, an iterative method is proposed for non-linear frequency modulation (NLFM) waveform design based on a constrained optimisation problem using Lagrangian method. To date, NLFM waveform design methods have been performed based on the stationary phase concept which has been already used by the authors in a previous work. The proposed method has been implemented for six windows of Raised-Cosine, Taylor, Chebyshev, Gaussian, Poisson, and Kaiser. The results reveal that the peak sidelobe level of autocorrelation function (ACF) reduces about an average of 5 dB in the proposed method compared with the stationary phase method, and an optimum peak sidelobe level is achieved. The minimum error of the proposed method decreases in each iteration which is demonstrated using mathematical relations and simulation. The trend decrement of minimum error guarantees convergence of the proposed method.
机译:在这项研究中,提出了一种基于拉格朗日方法的约束优化问题的非线性调频(NLFM)波形设计的迭代方法。迄今为止,NLFM波形设计方法是基于固定相位概念执行的,该方法已被作者在以前的工作中使用。所提出的方法已针对Raised-Cosine,Taylor,Chebyshev,Gaussian,Poisson和Kaiser的六个窗口实现。结果表明,与固定相位方法相比,该方法的自相关函数(ACF)的峰值旁瓣电平平均降低了约5 dB,并获得了最佳的峰值旁瓣电平。所提方法的最小误差在每次迭代中都会减小,这可以通过数学关系和仿真得到证明。最小误差的趋势递减保证了所提方法的收敛性。

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