一种新的GNSS分层信号采集偏相关算法

J. Svatoň, F. Vejražka, P. Kubalík, Jan H. Schmidt, Jaroslav Borecký
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引用次数: 6

摘要

提出了一种改进的单块补零(mSBZP)偏相关法(PCM)并行码搜索(PCS)算法,通过对微弱GNSS分层信号的二次码分量进行相干处理,有效地获取了该信号。讨论了两个问题:利用有限长度的FFT块获取较长周期的初级码,以及在SC位转换存在的情况下使用PCS。PCM和SC位转换在交叉歧义函数(CAF)中形成寄生碎片,从而降低信号检测性能。本文对这一机制及其影响进行了新的分析。提出了一种不降低CAF的mSBZP-PCM-PCS算法。然后,将该算法与SC位转移去除方案和顺序搜索相结合,构造了一个弱分层信号采集的估计器。利用Galileo E1C和GPS L1C-P信号进行分析和计算机仿真,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel partial correlation method algorithm for acquisition of GNSS tiered signals
This paper presents a new modified Single Block Zero-Padding (mSBZP) Partial Correlation Method (PCM) Parallel Code Search (PCS) algorithm for effective acquisition of weak GNSS tiered signal using coherent processing of its secondary code (SC) component. Two problems are discussed: acquisition of primary codes with a longer period using FFT blocks of limited length, and the utilization of PCS in the presence of SC bit transition. The PCM and SC bit transition forms parasitic fragments in the Cross-Ambiguity-Function (CAF) to devaluate signal detection performance. A novel analysis of this mechanism and its impact is presented. A novel mSBZP-PCM-PCS algorithm is proposed, which does not degrade the CAF. Then, the algorithm is combined with SC bit transition removal schema and sequential search to construct an estimator for weak tiered signal acquisition. The performance of the method is demonstrated by analysis and computer simulation using Galileo E1C and GPS L1C-P signals.
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