M-Sequence and Secondary Code Constraints for GNSS Signal Acquisition

Borio, Daniele

doi:10.1109/taes.2011.5751235

Cited by 28 publications

(53 citation statements)

References 11 publications

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“…Note that the local secondary code is not modified, it is simply expressed as the sum of two codes, and this concerns only the local code, not the incoming one. Thus, (8) and (9) can respectively be rewritten as …”

Section: New Methods To Reduce the Processing Timementioning

confidence: 99%

“…For the combinations, (8) uses vectors of 2N P points, whereas (9) uses vectors of N P points. Thus, (9) requires slightly less operations than (8). One can check that these two equations require more operations than the direct correlation of (5).…”

Section: Combinationsmentioning

confidence: 99%

“…However, this implies to be able to detect the signals using only one period of the primary code, which is not the case in the high sensitivity context. In [7], [8], it has been proposed to extend the coherent integration time by estimating the possible combinations of several secondary code chips, and using this to determine the secondary code delay [9], but these methods are still not adapted to the high sensitivity context. To get high sensitivity, the coherent integration time should be at least one period of the secondary code, or a multiple of it.…”

Section: Introductionmentioning

confidence: 99%

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High sensitivity acquisition of GNSS signals with secondary code on FPGAs

Leclère¹,

Botteron

Farine

2017

IEEE Aerosp. Electron. Syst. Mag.

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Abstract-The presence of a secondary code in modern global navigation satellite system signals complicates the acquisition of these signals, because there is a potential sign transition between each period of the primary code. Some previous works proposed to use the parallel code search by performing the correlation over the primary code several times and then combining the results according to the secondary code chips. In this article, we will focus on this method and compare different hardware implementations, to determine if it is better to do the combinations before or after the correlations, and to compare serial and parallel architectures. In a second part, we will show a simple method that manipulates the local secondary code to rearrange the equations, which approximately halves the theoretical number of operations related to the secondary code correlation and the processing time for hardware implementations, without any impact on the sensitivity.

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Section: New Methods To Reduce the Processing Timementioning

confidence: 99%

Section: Combinationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High sensitivity acquisition of GNSS signals with secondary code on FPGAs

Leclère¹,

Botteron

Farine

2017

IEEE Aerosp. Electron. Syst. Mag.

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“…The recently introduced GPS and Galileo signals bring new features compared to the initial civilian GPS L1 C/A signal, such as a higher power, longer codes for a better cross-correlation between satellites signals, pilot channels that do not carry data to facilitate long integrations and improve the sensitivity threshold, and secondary codes that are short PRN codes to make the data synchronization easier [2].…”

Section: Introductionmentioning

confidence: 99%

“…1. The presence of a secondary code brings advantages and additional performance, but also makes the acquisition more difficult [2]. Exploiting the secondary code adds a third dimension to the acquisition search (besides the Doppler frequency and primary code dimensions), and implies the use of long coherent integration times, which impacts also the search in the Doppler frequency dimension.…”

Section: Introductionmentioning

confidence: 99%

Acquisition of modern GNSS signals using a modified parallel code-phase search architecture

2014

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The acquisition of global navigation satellite system signals can be performed using a fast Fourier transform (FFT). The FFT-based acquisition performs a circular correlation, and is thus sensitive to potential transitions between consecutive periods of the code. Such transitions are not occurring often for the GPS L1 C/A signal because of the low data rate, but very likely for the new GNSS signals having a secondary code. The straightforward solution consists in using two periods of the incoming primary code and using zeropadding for the local code to perform the correlation. However, this solution increases the complexity, and is moreover not efficient since half of the points calculated are discarded. This has led us to research for a more efficient algorithm, which discards less points by calculating several sub-correlations.It is applied to the GPS L5, Galileo E5a, E5b and E1 signals. Considering the radix-2 FFT, the proposed algorithm is more efficient for the L5, E5a and E5b signals, and possibly for the E1 signal. The theoretical number of operations can be reduced by 21 %, the processing time measured on a * Corresponding author Email address: jerome.leclere@epfl.ch (Jérôme Leclère)Preprint submitted to Signal Processing July 2, 2013 software implementation is reduced by 39 %, and the memory resources are almost halved for an FPGA implementation.

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Applications of Extreme Statistics in Science, Engineering, and Economics

Teugels

2015

Wiley StatsRef: Statistics Reference Online

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M-Sequence and Secondary Code Constraints for GNSS Signal Acquisition

Cited by 28 publications

References 11 publications

High sensitivity acquisition of GNSS signals with secondary code on FPGAs

High sensitivity acquisition of GNSS signals with secondary code on FPGAs

Acquisition of modern GNSS signals using a modified parallel code-phase search architecture

Applications of Extreme Statistics in Science, Engineering, and Economics

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