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Joint Acquisition Estimator of Modern GNSS Tiered Signals Using Block Pre-Correlation Processing of Secondary Code

机译:使用二级码的块预相关处理的现代GNSS分层信号联合捕获估计器

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摘要

Objective is a joint primary and secondary code (SC) acquisition estimator of tiered Global Navigation Satellite Systems (GNSS) signals. The estimator is based on the Parallel Code Search algorithm (PCS) combined with the Single-Block-Zero-Padding (SBZP) and the Pre-correlation Coherent Accumulation (PCA). The PCA realizes the extension of the coherent integration time in front of the PCS. However, the PCS with the SBZP and the PCA is affected by a navigation/SC bit transition problem due to its cyclic property of a computed Cross-Ambiguity Function (CAF). This CAF is degraded by diverse parasitic fragments and is not directly applicable for an acquisition. A novel analysis of this mechanism and its impact is presented. Then, the proposed modified SBZP (mSBZP) modified PCA (mPCA) PCS estimator is constructed, which does not degrade the CAF. The mSBZP allows the use of the PCS algorithm in the presence of SC bit transition, while the mPCA decreases the number of PCS algorithm calculations by a factor of SC chip count due to SC pre-correlation processing. The algorithm has the same detection performance in comparison with conventional Double-Block-Zero-Padding (DBZP). However, it allows using the PCS of half-length with longer latency up to a factor of SC chip count.
机译:目标是分层全球导航卫星系统(GNSS)信号的联合主要和辅助代码(SC)采集估计器。估计器基于并行代码搜索算法(PCS),单块零填充(SBZP)和预相关相干累加(PCA)。 PCA实现了PCS前面相干集成时间的延长。但是,具有SBZP和PCA的PCS由于其计算的交叉歧义函数(CAF)的循环特性而受到导航/ SC位转换问题的影响。该CAF会因各种寄生碎片而降解,因此不能直接用于采集。提出了对该机制及其影响的新颖分析。然后,构造了建议的修改后的SBZP(mSBZP)修改后的PCA(mPCA)PCS估计器,它不会降低CAF。 mSBZP允许在存在SC位转换的情况下使用PCS算法,而由于SC预相关处理,mPCA将PCS算法计算的数量减少了SC芯片计数的一个因素。与传统的双块零填充(DBZP)相比,该算法具有相同的检测性能。但是,它允许使用半长的PCS,具有更长的等待时间,最高可达SC芯片数。

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