Joint phase-recovery and demodulation-decoding of AIS signals received by satellite

Prevost, Raoul; Coulon, Martial; Bonacci, David; LeMaitre, Julia; Millerioux, Jean-Pierre; Tourneret, Jean-Yves

doi:10.1109/icassp.2013.6638595

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…where, in the AIS system, the modulation index is theoretically equal to h = 0.5 [15], I(t) (resp. Q(t)) modulates the frequency carrier in phase (resp.…”

Section: Gmsk Modulationmentioning

confidence: 99%

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Cherrak

Ghennioui

Thirion-Moreau

et al. 2019

IJECE

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<p>In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine surveillance is addressed. Due to the specific properties of the sources under consideration: they are cyclo-stationary signals with two close cyclic frequencies, we opt for spatial quadratic time-frequency domain methods. The use of an additional diversity, the time delay, is aimed at making it possible to undo the mixing of signals at the multi-sensor receiver. The suggested method involves three main stages. First, the spatial generalized mean Ambiguity function of the observations across the array is constructed. Second, in the Ambiguity plane, Delay-Doppler regions of high magnitude are determined and Delay-Doppler points of peaky values are selected. Third, the mixing matrix is estimated from these Delay-Doppler regions using our proposed non-unitary joint zero-(block) diagonalization algorithms as to perform separation.</p>

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“…where, in the AIS system, the modulation index is theoretically equal to h = 0.5 [15], I(t) (resp. Q(t)) modulates the frequency carrier in phase (resp.…”

Section: Gmsk Modulationmentioning

confidence: 99%

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Cherrak

Ghennioui

Thirion-Moreau

et al. 2019

IJECE

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show abstract

“…Hence, the multi‐user signal, after interference reduction, is processed as a mono‐user signal, which barely increases the computation complexity with respect to the mono‐user scenario. Note that parts of this study have been considered in and for the mono‐user scenario with perfect phase recovery, in for the mono‐user scenario with joint phase estimation and in for the multi‐user scenario. The present article proposes a more detailed presentation of the different algorithms, deeper result analyses and discussions, along with extended simulation results.…”

Section: Introductionmentioning

confidence: 99%

Cyclic redundancy check‐based detection algorithms for automatic identification system signals received by satellite

Prevost

Coulon

Bonacci³

et al. 2013

Satell Commun Network

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SUMMARYThis paper addresses the problem of demodulating signals transmitted in the automatic identification system. The main characteristics of such signals consist of two points: (i) they are modulated using a trellis-coded modulation, more precisely a Gaussian minimum shift keying modulation; and (ii) they are submitted to a bit stuffing procedure, which makes more difficult the detection of the transmitted information bits. This paper presents several demodulation algorithms developed in different contexts: mono-user and multi-user transmissions, and known/ unknown phase shift. The proposed receiver uses the cyclic redundancy check (CRC) present in the automatic identification system signals for error correction and not for error detection only. By using this CRC, a particular Viterbi algorithm, on the basis of a so-called extended trellis, is developed. This trellis is defined by extended states composed of a trellis code state and a CRC state. Moreover, specific conditional transitions are defined to take into account the possible presence of stuffing bits. The algorithms proposed in the multi-user scenario present a small increase of computation complexity with respect to the mono-user algorithms. Some performance results are presented for several scenarios in the context of the automatic identification system and compared with those of existing techniques developed in similar scenarios.

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GMSK iterative carrier recovery for AIS burst-mode

Xiwen

Luo

2017

The Journal of China Universities of Posts and Telecommunicatio

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Joint phase-recovery and demodulation-decoding of AIS signals received by satellite

Abstract: OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.

Cited by 7 publications

References 14 publications

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

Cyclic redundancy check‐based detection algorithms for automatic identification system signals received by satellite

GMSK iterative carrier recovery for AIS burst-mode

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