Multi-user leo-satellite receiver for robust space detection of AIS messages

Zhou, Mu; Veen, Alle-Jan van der; Leuken, René van

doi:10.1109/icassp.2012.6288431

Cited by 16 publications

(17 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One is an AIS receiver on a LEO satellite orbiting at altitude 600 km high, and another is an AIS receiver on our building facing the harbor of Rotterdam. First, we simulate the proposed beamforming algorithms in an exact dynamic AIS software model for a LEO satellite (See [15,23]). Ships are randomly distributed in the satellite field of view (FoV) and are moving in the opposite direction of the satellite velocity vector.…”

Section: Resultsmentioning

confidence: 99%

“…Each subarray has M/2 dipole antennas spacing at half wavelengths. The single user receiver to decode the messages is the same to that in [15]. The time interval between the messages from one ship is 60 seconds.…”

Section: Resultsmentioning

confidence: 99%

“…MU denotes the receiver with directly applied ACMA and no interference suppression. MU+SI denotes the receiver with our beamforming algorithm proposed in [15]. GSVD-T denotes the receivers with our proposed GSVD tracking algorithm.…”

Section: Resultsmentioning

confidence: 99%

“…In [15], we proposed blind beamforming techniques to suppress the interference. This paper proposes more simple and efficient blind beamforming techniques using the generalized singular value decomposition (GSVD) and its tracking version to further improve the performance.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blind beamforming techniques for automatic identification system using GSVD and tracking

Zhou

Veen

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Self Cite

View full text Add to dashboard Cite

The automatic identification system (AIS) is a wireless synchronous narrowband communication system for exchanging navigational data through short messages between ships and base stations in the maritime VHF frequency band. The service coverage of each communication cell is limited within the horizon by the line of sight propagation of VHF signals. AIS receivers are put on high buildings besides harbors, lighthouses along coastlines and even on LEO satellites in space to detect signals from more cells. The toughest problem that these receivers are facing is the partial overlapping of messages from multiple cells. Antenna arrays are used in AIS receivers to suppress the interference. A good beamforming algorithm is needed for computing beamformers. Previously, we proposed blind beamforming techniques based on subspace intersection to solve this problem. In this paper, we propose more simple and efficient blind beamforming techniques using the generalized singular value decomposition (GSVD) and its tracking version for the same problem. The proposed algorithms are simulated in an exact dynamic AIS software model, and are tested on real-world AIS signals collected from our experimental hardware. Simulation results show that the proposed algorithms achieve satisfactory performance. Experimental results confirm the effectiveness of the proposed algorithms.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Blind beamforming techniques for automatic identification system using GSVD and tracking

Zhou

Veen

2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Besides, MUD receivers have been proposed for satellite systems such as the automatic identification system. The approaches are based on a multi-beam receiver [8,9]. In this paper, we limit ourselves to the study of two beacon signals.…”

Section: Introductionmentioning

confidence: 99%

Multi‐user detection for the ARGOS satellite system

Escrig

Fares

Boucheret

et al. 2014

Satell Commun Network

View full text Add to dashboard Cite

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 12920 SUMMARYIn this paper, we evaluate several Multi-User Detection (MUD) architectures for the reception of asynchronous beacon signals in the ARGOS satellite system. The case of synchronous signals is studied first. Though impractical, this case provides useful guidance on the second part of the study, i.e., the design of MUD receivers for asynchronous users. This paper focuses more particularly on Successive Interference Cancellation (SIC) receivers since they have been shown to achieve a good performance complexity tradeoff. Several E b /N 0 degradation curves are obtained as a function of channel parameters. With these curves, a performance analysis is presented in order to determine in which conditions it is possible to successfully decode none, one, or more beacon signals. We show that SIC receivers can improve the percentage of served beacons from 50% to more than 67% for a population of 37,600 beacons.

show abstract

A multiuser decoder based on spectrum analysis for the Brazilian Environmental Data Collecting System

Duarte

Lima

Ramos

et al. 2020

Satell Commun Network

View full text Add to dashboard Cite

Summary The Brazilian Environmental Data Collection System (SBCDA) is an asynchronous multiuser message forwarding system based on low earth orbit (LEO) satellites with applications restricted to environmental monitoring and human life protection. This work presents a multiuser SBCDA decoder with low data memory and computational load. The decoder uses spectrum analysis to detect signal presences and upon every signal detection starts a signal decoding process with single‐user bit detection. Simulations considering an Additive White Gaussian Noise (AWGN) scenario with signal's time‐frequency positions uniformly and independently distributed and signal's powers uniformly distributed in dB within a dynamic range of 24 dB are present for different densities of user signals. Those show a frame error rate (FER) of approximately 25% for an average of six coexisting signals at every time instant, in which a missed signal was considered as a frame error. Finally, there are considerations on how to improve the performance maintaining a single‐input and single‐user bit detection strategy.

show abstract

Multi-user leo-satellite receiver for robust space detection of AIS messages

Cited by 16 publications

References 11 publications

Blind beamforming techniques for automatic identification system using GSVD and tracking

Blind beamforming techniques for automatic identification system using GSVD and tracking

Multi‐user detection for the ARGOS satellite system

A multiuser decoder based on spectrum analysis for the Brazilian Environmental Data Collecting System

Contact Info

Product

Resources

About