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Implementation of fast independent component analysis on field-programmable gate array for resolving the slot collision issue in the space-based automatic identification system

机译:用于解决基于空间的自动识别系统中的现场可编程门阵列快速独立分量分析的实现

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The space-based automatic identification system (S-AIS) is a maritime safety and vessel monitoring system used to broadcast the ship position and other telemetry every few seconds in short bursts. A satellite-based AIS receiver is of interest to defense community as it provides global or wide-area coverage. However, when the satellite passes regions with elevated traffic density, a major challenge is to overcome the message or signal interference at the satellite receiver. This paper mainly focuses on developing a novel AIS satellite receiver that uses fast independent component analysis (FastICA) blind source separation technique to resolve the overlapped signals at the satellite. We propose an architecture to realize FastICA algorithm on hardware. In addition to this, we present Gaussian minimum shift keying modulator and demodulator design schemes used by the S-AIS transponders. The proposed framework is realized on Virtex5-xc5vlx110t field-programmable gate array. The results obtained validate the effectiveness of the FastICA architecture realized by recovering the original ship data from the overlapped signals.
机译:基于空间的自动识别系统(S-AIS)是一个海事安全和船舶监测系统,用于每隔几秒钟广播船舶位置和其他遥测。基于卫星的AIS接收器对防御社区感兴趣,因为它提供全球或广域覆盖范围。然而,当卫星通过具有升高的交通密度的区域时,主要挑战是克服卫星接收器处的消息或信号干扰。本文主要侧重于开发一种新颖的AIS卫星接收器,该接收器使用快速独立的分量分析(Fastica)盲源分离技术来解决卫星的重叠信号。我们提出了一种实现硬件上的Fastica算法的架构。除此之外,我们还展示了S-AIS转发器使用的高斯最小移位键控调制器和解调器设计方案。在Virtex5-XC5VLX110T现场可编程门阵列上实现了所提出的框架。通过从重叠信号中恢复原始船舶数据来验证所实现的Fastica架构的有效性。

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