Effective and efficient compound feature vectors applicable to discrimination of any conceivable bandpass modulated waveforms

Sobolewski, Sylwester; Adams, William Larry; Sankar, Ravi

doi:10.1109/blackseacom.2016.7901550

Cited by 3 publications

(2 citation statements)

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“…Currently, the solutions to tackle the ambiguity problem have been highly focused on by many researchers, and some interesting approaches can be summed up in the following three categories: single sideband algorithm [ 10 , 11 ], ambiguity avoidance detection method [ 12 , 13 ] and side-peaks cancellation (SC) [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. (1) The BPSK-like [ 10 ] and modified sideband (MSB) [ 11 ] technique are two representative single-sideband algorithms, both of which use band-pass filters to deal BOC signals to obtain two side lobes.…”

Section: Introductionmentioning

confidence: 99%

“…However, they will achieve a wider main peak and wholly eliminate all the merits of BOC signal in synchronization. (2) Both the bump-jumping (BJ) [ 12 ] and double estimation technique (DET) [ 13 ] belong to the ambiguity avoidance detection method. This type of method is used to increase the number of correlators to detect and reduce the tracking error, but it requires a longer detection and recovery time and is not a fit method for weak signal strength to use.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Unambiguous Synchronization Scheme for GNSS BOC Signals Based on Reconstructed Correlation Function

Sun

Song

et al. 2021

Sensors

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Binary offset carrier (BOC) modulation is a new modulation method that has been gradually applied to the Global Satellite Navigation System (GNSS) in recent years. However, due to the multi-peaks in its auto-correlation function (ACF), it will incur a false lock and generate synchronization ambiguous potentially. In this paper, an unambiguous synchronization method based on a reconstructed correlation function is proposed to solve the ambiguity problem. First, through the shape code vector constructed in this paper, the general cross-correlation function (CCF) expression of the BOC modulated signal will be obtained. Based on the features of the signal correlation function, it is decomposed into a matrix form of trigonometric functions. Then, it generates two local signal waves using a specific method, then the proposed method is implemented to obtain a no-side-peak correlation function by reconstructing the cross-correlation between the received signal and the two local signals. Simulations showed that it fully eliminates the side-peak threat and significantly removes the ambiguity during the synchronization of the BOC signals. This paper also gives the improved structure of acquisition and tracking. The detailed theoretical deduction of detection probability and code tracking error is demonstrated, and the corresponding phase discrimination function is given. In terms of de-blurring ability and detection probability performance, the proposed method outperformed other conventional approaches. The tracking performance was superior to the comparison methods and the phase discrimination curve only had a zero-crossing, which successfully removed the false lock points. In addition, in multipath mitigation, it outperformed the ACF of the BOC signal, and performs as well as the autocorrelation side-peak cancellation technique (ASPeCT) for BOC(kn,n) signals.

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