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Sequential Block Search for Direct Acquisition of Long Codes under Large Uncertainty

机译:顺序块搜索在大不确定性下直接获取长代码

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This paper presents a sequential block search technique for direct acquisition of long code sequences such as GPS P(Y)-code and the new M-code. Conventional methods perform time and frequency search sequentially one cell per predetection interval. As such, it is too slow under large uncertainty and becomes even more lengthy when a large processing gain is desired to work with weak signal or to operate under jamming conditions. In contrast, parallel search becomes an interesting alternative to allow for simultaneous testing of multiple code phases and frequency bins (one block at a time). Instead of searching through the uncertainty interval in a uniform manner, the present sequential block search technique allows for the design of search window such that its coverage follows a distribution similar to the initial time estimate. In this way, larger processing gains are given to more possible events. As such, it is expected to produce a higher probability of detection (PD) and smaller mean time to acquisition (MTTA). In this paper, two implementation schemes of the sequential block search are outlined. Probabilistic models are established to characterize PD and MTTA as a function of signal to noise ratio (SNR), initial errors, and search parameters.
机译:本文介绍了一种顺序块搜索技术,用于直接获取长码序列,例如GPS P(Y) - 代码和新的M代码。传统方法按照每个预偏移间隔顺序地执行时间和频率搜索。因此,在大的不确定度下它太慢,当需要大的加工增益以便使用弱信号或在干扰条件下运行时变得更加冗长。相反,并行搜索成为一个有趣的替代方案,以允许同时测试多个代码阶段和频率箱(一次一个块)。该顺序块搜索技术允许搜索窗口的设计,而不是以统一的方式搜索不确定性间隔,而是允许其覆盖遵循类似于初始时间估计的分布。以这种方式,给予更大的处理收益更多可能的事件。因此,预计会产生更高的检测概率(PD)和更小的采集时间(MTTA)。在本文中,概述了顺序块搜索的两个实现方案。建立概率模型,以表征PD和MTTA作为信噪比(SNR),初始错误和搜索参数的信号。

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