Acoustic echo path delay estimation by means of a BOC-BPSK correlation method

Beaubois, Florian; Selmi, Ikhlas; Choquel, Jean-Bernard; Noyer, Jean-Charles; Reboul, Serge

doi:10.1109/icsens.2015.7370445

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%

“…Once the code phase error exceeds its correlation peak width (that is, the width of the main correlation peak of the BOC signal), the tracking loop may lose lock and the Sine-BOC( n , n ) signals are only applicable to this method. The pseudo-correlation function (PCF) technology mentioned in [ 16 ] eliminates the edge peaks of the correlation function by constructing two sets of spreading code sequence waveforms that are mirror images of each other, and then combining them non-linearly. The method in [ 17 , 18 ] is only dedicated to Sine-BOC signals.…”

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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