Generalized Theory of Code Tracking with an Early-Late Discriminator Part II: Noncoherent Processing and Numerical Results

Betz, John W.; Kolodziejski, K.R.

doi:10.1109/taes.2009.5310317

Cited by 93 publications

(85 citation statements)

References 4 publications

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“…This can be explained as follows. This useful PN spectrum line is regarded as part of the CW interference by the proposed MU and will be subtracted from the front-end signal by mistake [19]. This indicates the loss of a useful signal in the case of the proposed algorithm.…”

Section: Multiple Cw Interferencesmentioning

confidence: 99%

CW interference mitigation in GNSS receiver based on frequency-locked loop

Ren

Wang

Jiang

et al. 2016

Sci. China Inf. Sci.

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Global navigation satellite system (GNSS) receivers are highly susceptible to continuous wave (CW) interference because the received signals are extremely weak. Current interference mitigation techniques mainly use a notch filter or transform domain. This paper proposes a computationally effective algorithm based on a frequency-locked loop (FLL) to mitigate interference in GNSS receivers. The performance of the algorithm is validated through an analysis of the characteristics of the interference reduction filter and interference estimation precision. A Monte Carlo simulation is used to compare the proposed algorithm with various previous algorithms: the adaptive IIR notch filter, adaptive linear-phase FIR filter, and N-sigma DFT algorithm. The simulation results show that the proposed algorithm exhibits excellent interference estimation precision and superior antijamming performance compared with the conventional algorithms.

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Section: Multiple Cw Interferencesmentioning

confidence: 99%

CW interference mitigation in GNSS receiver based on frequency-locked loop

Ren

Wang

Jiang

et al. 2016

Sci. China Inf. Sci.

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“…The code tracking threshold can be derived using an analytical expression for the thermal noise-induced CBOC code tracking error variance. For the DP discriminator used in the fine tracking step, it is given in [3,21], whereas, for the VEMLP discriminator, it is derived below. Analytical expressions for both discriminators can be written as…”

Section: Code Tracking Error and Tracking Thresholdmentioning

confidence: 99%

Two-Step Galileo E1 CBOC Tracking Algorithm: When Reliability and Robustness Are Keys!

Jovanović

Mongrédien

Tawk

et al. 2012

International Journal of Navigation and Observation

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The majority of 3G mobile phones have an integrated GPS chip enabling them to calculate a navigation solution. But to deliver continuous and accurate location information, the satellite tracking process has to be stable and reliable. This is still challenging, for example, in heavy multipath and non-line of sight (NLOS) environments. New families of Galileo and GPS navigation signals, such as Alternate Binary Offset Carrier (AltBOC), Composite Binary Offset Carrier (CBOC), and Time-Multiplex Binary Offset Carrier (TMBOC), will bring potential improvements in the pseudorange calculation, including more signal power, better multipath mitigation capabilities, and overall more robust navigation. However, GNSS signal tracking strategies have to be more advanced in order to profit from the enhanced properties of the new signals.In this paper, a tracking algorithm designed for Galileo E1 CBOC signal that consists of two steps, coarse and fine, with different tracking parameters in each step, is presented and analyzed with respect to tracking accuracy, sensitivity and robustness. The aim of this paper is therefore to provide a full theoretical analysis of the proposed two-step tracking algorithm for Galileo E1 CBOC signals, as well as to confirm the results through simulations as well as using real Galileo satellite data.

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“…Both coherent and non-coherent loops were investigated with traditional early-late correlators spacing of 1 chip and a relatively narrow spacing of 0.1 chips. Recently, analytical work to assess the performance of a coherent tracking loop for positioning and navigation applications was presented in [18] and [19]. The impact of sampling and quantization on tracking loop performance, with a non integer chip-to-sample ratio, was considered in [20].…”

Section: Related Workmentioning

confidence: 99%