Iterative soft sequential estimation aided differential acquisition of m-sequences

Lei-Liang Yang, L. Hanzo
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引用次数: 1

Abstract

In this contribution a novel sequential estimation method is proposed for the acquisition of m-sequences. This sequential estimation method exploits the principle of iterative soft-in-soft-out (SISO) decoding for enhancing the acquisition performance, and that of differential pre-processing for the sake of achieving an enhanced acquisition performance, when communicating over various propagation environments. Hence the advocated acquisition arrangement is referred to as the differential recursive soft sequential estimation (DRSSE) acquisition scheme. The DRSSE acquisition scheme exhibits a low complexity, which is similar to that of an m-sequence generator, while achieving an acquisition time that is linearly dependent on the number of stages in the m-sequence generator. Owing to these attractive characteristics, the DRSSE acquisition scheme constitutes a promising initial synchronization scheme, in particular, when acquiring long m-sequences transmitted over various propagation environments.
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迭代软序列估计辅助m序列差分采集
在这篇贡献中,提出了一种新的序列估计方法来获取m序列。这种序列估计方法利用迭代软入软出(SISO)解码的原理来提高采集性能,并利用差分预处理的原理来实现在各种传播环境下通信时的增强采集性能。因此,所提倡的采集安排被称为微分递归软序列估计(DRSSE)采集方案。DRSSE采集方案具有与m序列发生器相似的低复杂性,同时实现了与m序列发生器中的级数线性相关的采集时间。由于这些吸引人的特性,DRSSE获取方案构成了一个有前途的初始同步方案,特别是在获取在各种传播环境下传输的长m序列时。
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