2018
DOI: 10.3390/s18010119
|View full text |Cite
|
Sign up to set email alerts
|

A Novel Residual Frequency Estimation Method for GNSS Receivers

Abstract: In Global Navigation Satellite System (GNSS) receivers, residual frequency estimation methods are traditionally applied in the synchronization block to reduce the transient time from acquisition to tracking, or they are used within the frequency estimator to improve its accuracy in open-loop architectures. There are several disadvantages in the current estimation methods, including sensitivity to noise and wide search space size. This paper proposes a new residual frequency estimation method depending on diffe… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 20 publications
0
2
0
Order By: Relevance
“…is is because based on (19) the integration time is long, and the integration peak value is large. 2) and (10), the computations of the proposed method can be obtained. Here, the BASIC [11] is chosen as the benchmark for the coarse MF estimation.…”
Section: Cramér-rao Bound (Crb) Of the Proposed Methodmentioning
confidence: 99%
See 1 more Smart Citation
“…is is because based on (19) the integration time is long, and the integration peak value is large. 2) and (10), the computations of the proposed method can be obtained. Here, the BASIC [11] is chosen as the benchmark for the coarse MF estimation.…”
Section: Cramér-rao Bound (Crb) Of the Proposed Methodmentioning
confidence: 99%
“…However, because of the trade-o between the Doppler frequency resolution and the computational complexity, the maximum error of carrier frequency estimation depends on the number of FFT points. To improve the Doppler frequency accuracy, Nguyen et al [10] proposed a residual frequency estimation method with di erential processing. Due to the di erential processing, it performs not well in the low SNR.…”
Section: Introductionmentioning
confidence: 99%