Advanced receiver design for satellite‐based automatic identification system signal detection

Burzigotti, P.; Ginesi, Alberto; Colavolpe, Giulio

doi:10.1002/sat.1007

Cited by 41 publications

(120 citation statements)

References 9 publications

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“…When the frequency offset exceeds the range, it needs to be estimated and compensated. An innovative receiver architecture for the satellite-based AIS, which adopts the Viterbi decoding algorithm based on Laurent decomposition in [5], is described in [2]. A highly efficient receiver, which modifies the synchronization and detection algorithms in [2] and achieves an impressive performance improvement, is proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

“…Each AIS receiver nearby can receive these messages and provides a map of the local maritime traffic, thus, avoiding collisions on the sea. However, the AIS system was initially developed to realize horizon communication, so it has a limited coverage range [2]. The satellite-based AIS system receives messages from a constellation of low earth orbit satellites, which extends the range of coverage and attracts attention from more and more countries [3].…”

Section: Introductionmentioning

confidence: 99%

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Multiple-Symbol combined differential detection for satellite-based AIS Signals

Hao

Wang

et al. 2015

EURASIP J. Adv. Signal Process.

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In this paper, a multiple-symbol combined differential Viterbi decoding algorithm which is insensitive to frequency offset is proposed. According to the theories of multiple-symbol differential detection and maximum-likelihood detection, we combine the multiple-order differential information with the Viterbi algorithm. The phase shift caused by the frequency offset is estimated and compensated from the above information in the process of decoding. The simulation results show that the bit error rate (BER) of 2 bits combined differential Viterbi algorithm is below 10 −3 when the normalized signal-to-noise ratio (NSNR) is 11 dB, and the decoding performances approach those of the coherent detection as the length of the combined differential symbols increases. The proposed method is simple and its performance remains stable under different frequency offsets.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiple-Symbol combined differential detection for satellite-based AIS Signals

Hao

Wang

et al. 2015

EURASIP J. Adv. Signal Process.

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“…In the satellitebased AIS, the relative speed of satellite and ship is high, and the two are far apart; therefore, there are challenges for the correct detection of the AIS signal such as the problem of time delay, the high Doppler offset, and low signal-tonoise ratio (SNR) [8]. With the current level of AIS signal detection technology, the correct detection of AIS signal can be guaranteed with the improvement of synchronization algorithm, and the influence of high Doppler offset on carrier recovery is gradually decreasing [9]. The satellite-based AIS is already operational but focuses on the stage of "vessel transmitting, satellite receiving."…”

Section: Introductionmentioning

confidence: 99%

A Vessel Positioning Algorithm Based on Satellite Automatic Identification System

Wang

Meng

et al. 2017

Journal of Electrical and Computer Engineering

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Vessels can obtain high precision positioning by using the global navigation satellite system (GNSS), but when the ship borne GNSS receiver fails, the existence of an alternative positioning system is important for the navigation safety of vessel. In this paper, a localization method based on the signals transmitted by satellite-based automatic identification system (AIS) is proposed for vessel in GNSS-denied environments. In the proposed method, the positioning model is a modification on the basis of time difference and frequency difference of arrival measurements by introducing an additional measurement, and the measurement is obtained through the interactive multiple model algorithm. The performance of the proposed strategy is evaluated through simulations, and the results validate the feasibility and reliability of vessel localization based on satellite-based AIS.

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“…Taking the lead from this, and relying on experimental data for ships distribution, it was possible to prove how the average load to be expected in regions of interest such as the Mediterranean see or the western coasts of Europe can easily be very high (e.g, larger than 5 pk/slot). Therefore, although some recent works have tried to improve decoding capabilities at the satellite resorting to advanced signal processing techniques [10], it is clear that a limiting factor to the overall achievable performance is given by the footprint used to collect AIS messages. In this perspective, an interesting and key tradeoff arises: on the one hand a larger coverage radius is desirable, so to get a snapshot on a wider area; on the other hand, the broader the footprint, the higher the traffic and the lower the decoding probability.…”

Section: Introductionmentioning

confidence: 99%

On the impact of coverage range on AIS message reception at flying platforms

Clazzer

Munari

Plass

et al. 2014

2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASM

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Abstract-In the recent past, an increasing interest has been devoted to the possibility of receiving Automatic Identification System (AIS) messages via Low Earth Orbit (LEO) satellites. While the principle has been demonstrated to be a viable option for monitoring vessel traffic over oceans and vaste land areas, the achievable performance from a communications viewpoint is far from optimal. Recently, it was shown how AIS traffic seen at a satellite can be very accurately modeled resorting to simple random access schemes. Leveraging this result, in this work we propose a simple yet flexible analytical framework capable of predicting channel load and overall reception performance taking into account the spatial distribution of vessels as well as their traffic generation pattern. Feeding the model with ship speed and location data derived from experimental settings, we discuss the achievable efficiency for a typical LEO-satellite detecting AIS packets. Moreover, the impact of the receiver footprint on ground on the overall decoding performance is investigated, deriving some interesting insights on the benefits that could stem resorting to narrower-beam systems. In this direction, we discuss two cases: the usage of a LEO satellite with a directional antenna soon to be launched for AIS monitoring, and the possibility of using airliner for receiving vessel-generated traffic.

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Advanced receiver design for satellite‐based automatic identification system signal detection

Cited by 41 publications

References 9 publications

Multiple-Symbol combined differential detection for satellite-based AIS Signals

Multiple-Symbol combined differential detection for satellite-based AIS Signals

A Vessel Positioning Algorithm Based on Satellite Automatic Identification System

On the impact of coverage range on AIS message reception at flying platforms

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