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Square Wave Decomposition for Fast Correlation in DSSS Receivers

机译:DSSS接收机中用于快速相关的方波分解

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摘要

Despreading is the most computationally demanding task of a direct sequence spread spectrum (DSSS) receiver. This operation can be efficiently performed by exploiting bit-wise parallel algorithms using quantized local carriers. The correlation loss due to the use of a quantized local carrier is determined, and a new class of bit-wise parallel correlation algorithms is obtained by decomposing the local carrier into a linear combination of bipolar square waves minimizing the correlation loss.
机译:解扩是直接序列扩频(DSSS)接收机中对计算要求最高的任务。通过利用量化本地载波利用按位并行算法,可以有效地执行此操作。确定了由于使用量化本地载波而引起的相关损耗,并且通过将本地载波分解为使相关损耗最小的双极方波的线性组合,获得了新型的按位并行相关算法。

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