Real IF Signal Quality Analysis Using General GNSS Software Receiver

Zhu, Li; Zhen, Jie; Zhao, Xinchao; Zhou, Mengxue

doi:10.1007/978-81-322-2580-5_76

Cited by 1 publication

(1 citation statement)

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“…The relation between the performance of the receiver and the signal parameter is studied by real BNSS data [16]. Motivated by the above research, in this paper, based on the concept and application of the correlation peak, unlike the previous ground station, the aim is to design a new timedivision multiplexing (TDM) method of signal analysis for the general vector tracking receivers.…”

Section: Introductionmentioning

confidence: 99%

Influence of B1 code correlation loop for vector tracking structures under complicated environment

Wang¹,

Feng²,

Du³

et al. 2019

Jsee

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The code tracking loop is a key component for user positioning. The pseudorange information of BeiDou B1 signals has been fused and changed for vector tracking, so a correlation output model for complex scenarios is designed to prevent the propagation of error and valuate the signal performance. The relevant software and hardware factors that affect the output are analyzed. A single channel time-division multiplexing (TDM) method for multicorrelation data extraction is proposed. Statistical characteristics of the correlation output data for both vector and scalar structures are evaluated. Simulation results show that correlation outputs for both structures follow normal or Chi-squared distributions in normal conditions, and the Gamma distribution in harsh conditions. It is shown that a tracking model based on the multi-channel fusion hardly changes the probability distribution of the correlation output in the normal case, but it reduces the ranging error of the code loop, and hence the tracking ability of the code loop for weak signals is improved. Furthermore, vector tracking changes the pseudorange characteristics of channels anytime, and affects the mutual correlation outputs of the code loops in the abnormal case. This study provides a basis for the subsequent design of autonomous integrity algorithms for vector tracking.

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Section: Introductionmentioning

confidence: 99%