基于FWT的快速PN序列相关

S.Z. Budisin
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引用次数: 14

摘要

推导了沃尔什函数与伪噪声序列之间的简单关系。通过适当的置换,可以将一组离散的Walsh函数序列转化为单个PN序列的不同相移集。提出了一种基于快速沃尔什变换(FWT)的匹配滤波器相关器。该相关器可以有效地应用于连续波雷达信号压缩和直接序列扩频码采集。该方法被证明比基于FFT(快速傅立叶变换)的方法更有效,该方法包括两个FFT和一个数组乘法。与基于fft的算法相比,该方法不需要进行乘法运算,并且操作总数大约减少了五倍。由于每个输入样本的操作数量很小,因此所提出的算法即使对于高比特率和长序列也足以用于LSI实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fast PN sequence correlation by using FWT
A simple relation between Walsh functions and PN (pseudonoise) sequences is derived. It is shown that by using a suitable permutation a set of discrete Walsh functions-sequences can be transformed into the set of different phase shifts of a single PN sequence. A matched filter-correlator based on the fast Walsh transform (FWT) which exploits this property is proposed. This correlator can be efficiently applied to continuous wave radar signal compression and direct-sequence spread-spectrum code acquisition. This method is shown to be much more efficient than the method based on the FFT (fast Fourier transform), which includes two FFTs and an array multiplication. As opposed to the FFT-based algorithm, the proposed method has no multiplications and the total number of operations is approximately five times smaller. As the number of operations per input samples is small, the proposed algorithm is adequate for LSI implementation even for high bit rates and for long sequences.<>
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