多相序列高效匹配滤波器的合成

C. Lesnik, T. Brenner, J. Pietrasiński, T. Rapacki
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引用次数: 3

摘要

Popovic(1992,1994)定义了一类具有理想周期自相关函数的多相序列,称为广义类啁啾序列(GCL)。这些序列具有特定的非周期自相关函数,在脉冲压缩雷达中非常有用。在雷达应用中,如何有效地实现相应的匹配滤波器是非常重要的。它是由Popovic与一般情况下的GCL序列以及P4和Frank(1963)代码的特殊情况下的匹配滤波器的关系完成的。该滤波器实现的实质是使用快速傅里叶变换(FFT)。对一般GCL模型信号以及P4和Frank模型的特殊情况进行了滤波器的合成。通过在移动窗口(MDFT)中实现傅里叶变换计算,提高了滤波效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Synthesis of efficient matched filter for polyphase sequences
A new class of polyphase sequences with ideal periodic autocorrelation function called the generalized chirp like (GCL) sequences was defined by Popovic (1992, 1994). These sequences have specific aperiodic autocorrelation function that is very useful in the pulse compression radars. For the radar applications it is very important to find an efficient implementation of the corresponding matched filter. It was done by Popovic with relation to a matched filter for the GCL sequences in the general case as well as special cases for P4 and Frank (1963) codes. The essence of this filter implementation is using the fast Fourier transform (FFT). The synthesis of the filter for a more general GCL model signal and the special cases of P4 and Frank models have been performed. The improvement of the filter efficiency was achieved by implementation of the Fourier transform calculation in a moving window (MDFT).
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